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Yang Fang

Yang Fang has 2 papers in our library, in 2024–2026, most of them on Evaluation & benchmarks, Sentiment & emotion, Semitic languages; often with Cheng Xu, Guangnan Ye, Hongfeng Chai.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 7 · 57 works · 272 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #12069

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Chongqing University of Posts and TelecommunicationsChongqing · China2022–2026 · 8 paperscurrent🎓PLA Information Engineering UniversityZhengzhou · China2026 · 1 papercurrent🎓Inha UniversityIncheon · South Korea2016–2021 · 6 papers🎓Nanning Normal UniversityNanning · China2007–2010 · 4 papers🎓Huazhong University of Science and TechnologyWuhan · China2019 · 3 papers🎓Hunan Agricultural UniversityChangsha · China2005–2009 · 2 papers🎓Yancheng Teachers UniversityYancheng · China2007–2009 · 2 papers🎓Hexi UniversityZhangye · China2006 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksSemitic languages · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid Network (2024 · 4 citations)
    Arabic sentiment analysis has few resources, and the common benchmarks (Gold Standard, SemEval) are old and contain fewer than 10,000 items.
  2. GQLBench: A Large-Scale Cross-Domain, Cross-Dialect Benchmark for NL2GQL (2026)
    NL2GQL is the task of mapping natural-language questions to graph database queries. It has lacked an evaluation resource that is large, spans many domains, and covers more than one query dialect. Earlier datasets usually target one field, such as finance or medicine, or only Cypher/nGQL, and they rely on costly…

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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