China
Country83 institutions in 20 agglomerations · all countries
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This is the library's directory of research institutions in China. It gathers the universities, laboratories, companies and government bodies whose researchers have written at least two of the papers held on this site. Institutions are ordered by how much the work their scientists did there has been cited. The list covers only the papers and people on this site, so it shows China's presence within this library's collection. It is not a census of Chinese research. The first page runs from Tsinghua University to Tianjin University, and a second page continues with further institutions. Each entry links to its own page, and the full directory of institutions groups organisations of every kind across all countries.
Four kinds of institution share the list: universities, companies, research institutes and one government body. Their mix is the most useful feature of the page. Academic, corporate and state-funded research appear side by side, and companies sit close to the top among the universities. Many of the institute and laboratory names refer to artificial intelligence, computing, automation, software and information science. Together with the corporate laboratories, they suggest that the Chinese work here is concentrated in computing-related research. The directory does not break this down by topic, so a reader who wants a field-by-field picture should open the individual pages.
Universities
Universities make up the largest group, and they hold the first place in the order. Tsinghua University in Beijing heads the list. On this site its scientists have one of the largest bodies of work and one of the largest citation totals of any Chinese institution. Peking University, also in Beijing, follows a few places down. Like Tsinghua, it pairs a broad collection of papers with heavy citation.
Shanghai is represented near the top by Fudan University and Shanghai Jiao Tong University. Renmin University of China in Beijing and Harbin Institute of Technology in the north-east also appear in the upper part of the list. Harbin's contribution is one of the larger sets of works among the universities.
University of Science and Technology of China in Hefei shows how citation and volume can diverge. Its set of works in our library is modest. Even so, its citation total is the highest of any Chinese institution listed, which means a few papers by its scientists have been cited very widely. Xi'an Jiaotong University shows a similar pattern even more sharply. Only a small handful of its papers appear here, yet they carry a citation total that exceeds that of many institutions with far larger collections. Jilin University in Changchun likewise combines a small number of works with a substantial citation count.
Further down, the universities spread across the country. Zhejiang University and Westlake University represent Hangzhou. Nanjing is represented by Nanjing University, and Guangzhou by Sun Yat-sen University. Soochow University in Suzhou has a comparatively large set of works, though they are less heavily cited than those of the institutions around it.
Beijing adds Beihang University, Beijing Institute of Technology, Beijing University of Posts and Telecommunications and Beijing Normal University. It also adds the University of Chinese Academy of Sciences, the teaching arm linked to the national academy.
Other regional universities appear lower on the first page. They include East China Normal University in Shanghai, Huazhong University of Science and Technology in Wuhan and Xiamen University. Northeastern University in Shenyang, Sichuan University in Chengdu and the National University of Defense Technology in Changsha also appear. Wuhan University and Tianjin University close the first page.
Several entries are campuses or branches of larger systems in southern China. The Chinese University of Hong Kong, Shenzhen and The Hong Kong University of Science and Technology (Guangzhou) appear under their own names. So does the Tsinghua Shenzhen International Graduate School, listed separately from its parent university in Beijing. Because these appear as distinct entries, work done at a Shenzhen or Guangzhou campus is credited to that campus on this site rather than folded into the main institution.
Companies
The prominence of companies is a distinctive feature of the Chinese list. Three of the first four places go to corporate research organisations.
DeepSeek, based in Hangzhou, stands second, directly behind Tsinghua. Its body of work in our library is very small. Its position suggests that its few papers have drawn heavy attention relative to their number.
Alibaba Group, also in Hangzhou, comes third. Its research unit Alibaba DAMO Academy is listed separately further down. Ant Group, another Hangzhou company, appears near the bottom of the first page with a small set of works.
Microsoft Research Asia in Beijing holds fourth place. It is a company laboratory whose citation total on this site is among the very highest of all the Chinese entries. That indicates papers from this laboratory have been widely taken up by later research.
Shenzhen supplies two large corporate contributors, Tencent and Huawei Technologies. Each has a sizeable collection of works here. Beijing adds Baidu, ByteDance, Sensetime and Meituan. Meituan's few papers carry more citations than the works of several larger institutions near it in the order.
Taken together, the companies show a corporate research sector that is publishing actively among the works here. In this collection, the strongest Chinese research output comes from both academic and industrial settings, not from universities alone.
Research institutes and the national academy
The Chinese Academy of Sciences is the only government body on the first page. It appears in the upper third of the list with a broad body of work. Three of its Beijing institutes are listed separately: the Institute of Automation, the Institute of Computing Technology and the Institute of Software. Of these, the Institute of Automation has the most cited work in our library. Its citation total is close to those of some of the large companies. The Shenzhen Institutes of Advanced Technology extend this network to the south.
A second group of research institutes carries names centred on artificial intelligence and information science. The Shanghai Artificial Intelligence Laboratory ranks among the top ten. It ranks above several long-established universities, and its collection of works is substantial. In Beijing, the Beijing Academy of Artificial Intelligence and the Beijing National Research Center for Information Science and Technology both sit in the upper half of the list. The Peng Cheng Laboratory in Shenzhen appears in the middle, with a moderate number of works that are less heavily cited.
These institutes show that, among the works here, a share of China's output comes from dedicated laboratories outside the university system. The academy's separately listed institutes also mean that its research appears both under the parent body and under individual units.
Geography
The directory gives a city for every institution, and the cities trace a clear map of where the Chinese work in this library is done.
Beijing is the largest centre by a wide margin. It hosts the top-ranked university, Peking University and many of the city's other universities. It is also home to the national academy and its institutes, several artificial intelligence laboratories, and the companies Microsoft Research Asia, Baidu, ByteDance, Sensetime and Meituan.
Hangzhou forms a second cluster, notable for its companies. DeepSeek, Alibaba Group, Alibaba DAMO Academy and Ant Group are all listed there, alongside Zhejiang University and Westlake University. Shanghai contributes Fudan University, Shanghai Jiao Tong University, East China Normal University and the Shanghai Artificial Intelligence Laboratory.
Shenzhen combines industry and branch campuses. Tencent and Huawei Technologies sit there with the Peng Cheng Laboratory, the Shenzhen Institutes of Advanced Technology, the Chinese University of Hong Kong, Shenzhen and the Tsinghua Shenzhen International Graduate School.
Beyond these four cities, the list reaches many provincial centres through single universities. These include Harbin, Hefei, Nanjing, Guangzhou, Xi'an, Suzhou, Changchun, Wuhan, Xiamen, Shenyang, Chengdu, Changsha and Tianjin. In several of these cities, notably Hefei and Xi'an, one university accounts for a body of highly cited work in our library.
Reading the list
The order on the page reflects the cited work done by each institution's scientists. It does not follow raw paper counts or raw citation totals. The two measures shown beside each name often disagree with each other and with the position.
DeepSeek ranks second with one of the smallest sets of works on the page. Microsoft Research Asia and the University of Science and Technology of China have citation totals larger than many institutions placed above them. Soochow University has a comparatively large collection but a lower place. Readers comparing institutions should therefore look at both figures on each entry, and at the works themselves on the institutional pages, rather than read the position alone.
The list also depends on how affiliations are recorded. Separate entries for parent bodies and their units mean that some research is visible in more than one place. This applies to the Chinese Academy of Sciences and its institutes, to Alibaba Group and its DAMO Academy, and to Tsinghua University and its Shenzhen school.
As the library adds papers, new institutions can join the list and the order can shift. The second page holds the institutions that currently fall below Tianjin University.
Where
Agglomerations (20)
- Beijing31 institutions283,594 citations
- Hefei3 institutions113,446 citations
- Hong Kong6 institutions48,034 citations
- Shanghai9 institutions44,531 citations
- Hangzhou8 institutions41,869 citations
- Xi'an4 institutions36,769 citations
- Guangzhou8 institutions31,481 citations
- Harbin1 institution25,250 citations
- Guangzhou3 institutions9,428 citations
- Nanjing3 institutions7,408 citations
- Changchun1 institution4,745 citations
- Suzhou2 institutions4,163 citations
- Wuhan2 institutions3,794 citations
- Chengdu2 institutions2,446 citations
- Xiamen1 institution1,876 citations
- Shenyang1 institution1,800 citations
- Changsha3 institutions1,768 citations
- Tianjin2 institutions1,270 citations
- Dalian2 institutions613 citations
- Jinan1 institution519 citations
Institutions (83)
🎓 Universities (54)
🔬 Labs and research institutes (12)
🏢 Companies (15)
🏛️ Government research bodies (2)
People (599)
Works in our library (616)
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksShaoqing Ren, Kaiming He, Ross Girshick, et al.2015 · 64,743 citations
- Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsZe Liu, Yutong Lin, Yue Cao, et al.2021 · 33,826 citations
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningDeepSeek-AI, Daya Guo, Dejian Yang, et al.2025 · 4,593 citations
- SimCSE: Simple Contrastive Learning of Sentence EmbeddingsTianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,921 citations
- A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,640 citations
- A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,221 citations
- CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,954 citations
- A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
- Attention-based LSTM for Aspect-level Sentiment ClassificationYequan Wang, Minlie Huang, Xiaoyan Zhu, et al.2016 · 2,609 citations
- A Survey on Large Language Model based Autonomous AgentsLei Wang, Chen Ma, Xueyang Feng, et al.2023 · 2,263 citations
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsZhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,013 citations
- Knowledge Graph Embedding via Dynamic Mapping MatrixGuoliang Ji, Shizhu He, Liheng Xu, et al.2015 · 1,936 citations
- Pre-trained Models for Natural Language Processing: A SurveyXipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,740 citations
- Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationDuyu Tang, Bing Qin, Ting Liu2015 · 1,675 citations
- Relation Classification via Convolutional Deep Neural NetworkDaojian Zeng, Kang Liu, Siwei Lai, et al.2014 · 1,659 citations
- SemEval-2016 Task 5: Aspect Based Sentiment AnalysisMaria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.2016 · 1,656 citations
- Retrieval-Augmented Generation for Large Language Models: A SurveyYunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,647 citations
- Deep Speech: Scaling up end-to-end speech recognitionAwni Hannun, Carl Case, Jared Casper, et al.2014 · 1,575 citations
- Unifying Large Language Models and Knowledge Graphs: A RoadmapShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,545 citations
- VisualBERT: A Simple and Performant Baseline for Vision and LanguageLiunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,510 citations
- Pre-Training with Whole Word Masking for Chinese BERTYiming Cui, Wanxiang Che, Ting Liu, et al.2019 · 1,485 citations
- GLM: General Language Model Pretraining with Autoregressive Blank InfillingZhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,449 citations
- TVM: An Automated End-to-End Optimizing Compiler for Deep LearningTianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,371 citations
- brat: a Web-based Tool for NLP-Assisted Text AnnotationPontus Stenetorp, Sampo Pyysalo, Goran Topić, et al.2012 · 1,368 citations
- Learning Sentiment-Specific Word Embedding for Twitter Sentiment ClassificationDuyu Tang, Furu Wei, Nan Yang, et al.2014 · 1,341 citations
Topics
Language models & pretraining (176) Sentiment & emotion (53) Reasoning (51) Discourse analysis (49) Evaluation & benchmarks (48) Machine translation (46) Vision & language (40) Coreference resolution (27) Dialogue systems (25) Multilingual & cross-lingual NLP (23) Information extraction (20) Information retrieval & search (20) Question answering (16) Bias, fairness & safety (13) Speech & spoken language (12) Semitic languages (12) Named entity recognition (9) Summarization (9) Text generation (9) Code & programming languages (9) Legal AI (9) Knowledge graphs & ontologies (8) Semantic parsing & meaning representation (8) Syntax & grammar formalisms (7) Dependency parsing (5) Semantic role labeling (5) Efficient models & compression (5) Speech act theory (3) Treebanks (3) Part-of-speech tagging (3) Low-resource languages (3) Interpretability (3) Word sense disambiguation (2) Tokenization & segmentation (2) Grammatical error correction & learner language (2) Idioms & multiword expressions (2) Universal Dependencies (1) Morphology (1) Hebrew & Aramaic (1) Historical linguistics & language change (1)
Fields
Natural language processing (269) Linguistics & languages (166) Machine translation (46) Mathematics & statistics (33) AI & machine learning (28) Law (10) Computing & GPUs (8)
Works by year
This page in Markdown → https://md.research.elamur.ai/free/en/countries/china/