Hangfeng He

594 total citations
16 papers, 247 citations indexed

About

Hangfeng He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Hangfeng He has authored 16 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Hangfeng He's work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Text and Document Classification Technologies (3 papers). Hangfeng He is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Text and Document Classification Technologies (3 papers). Hangfeng He collaborates with scholars based in United States, China and United Kingdom. Hangfeng He's co-authors include Xu Sun, Adam Lopez, Bonnie Webber, Jingjing Xu, Sujian Li, Xuancheng Ren, Weijie Su, Dan Roth, Jonathan Mamou and Luke Zettlemoyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Language Resources and Evaluation and Physical review. E.

In The Last Decade

Hangfeng He

11 papers receiving 234 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hangfeng He United States	6	234	29	24	19	15	16	247
Qianying Liu Japan	5	238 1.0×	26 0.9×	31 1.3×	24 1.3×	34 2.3×	20	275
Laura Perez-Beltrachini United Kingdom	5	260 1.1×	15 0.5×	23 1.0×	38 2.0×	18 1.2×	16	272
Tim O’Gorman United States	11	316 1.4×	26 0.9×	23 1.0×	34 1.8×	21 1.4×	25	329
Prasetya Ajie Utama Germany	6	244 1.0×	16 0.6×	11 0.5×	44 2.3×	31 2.1×	9	253
Muthu Kumar Chandrasekaran Singapore	10	163 0.7×	36 1.2×	12 0.5×	15 0.8×	34 2.3×	22	208
Rujun Han United States	9	266 1.1×	23 0.8×	32 1.3×	58 3.1×	24 1.6×	17	294
Elizabeth Boschee United States	8	179 0.8×	13 0.4×	22 0.9×	18 0.9×	37 2.5×	19	194
Mohammad Golam Sohrab Japan	6	255 1.1×	25 0.9×	38 1.6×	12 0.6×	67 4.5×	12	270
Yuri Kuratov Russia	5	128 0.5×	18 0.6×	8 0.3×	9 0.5×	21 1.4×	13	162
Leonardo F. R. Ribeiro Germany	6	231 1.0×	16 0.6×	6 0.3×	43 2.3×	20 1.3×	12	245

Countries citing papers authored by Hangfeng He

Since Specialization

Citations

This map shows the geographic impact of Hangfeng He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hangfeng He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangfeng He more than expected).

Fields of papers citing papers by Hangfeng He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hangfeng He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hangfeng He. The network helps show where Hangfeng He may publish in the future.

Co-authorship network of co-authors of Hangfeng He

This figure shows the co-authorship network connecting the top 25 collaborators of Hangfeng He. A scholar is included among the top collaborators of Hangfeng He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hangfeng He. Hangfeng He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

He, Hangfeng & Weijie Su. (2025). A law of next-token prediction in large language models. Physical review. E. 112(3). 35317–35317.

Liu, Zhuo, et al.. (2025). Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting. 3450–3468.

He, Hangfeng, Hongming Zhang, & Dan Roth. (2024). SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation. 2736–2764.

Liu, Xinyi, et al.. (2024). An Empirical Analysis on Large Language Models in Debate Evaluation. 470–487.

He, Hangfeng & Weijie Su. (2023). A law of data separation in deep learning. Proceedings of the National Academy of Sciences. 120(36). e2221704120–e2221704120. 5 indexed citations

He, Hangfeng, Mingyuan Zhang, Qiang Ning, & Dan Roth. (2021). Foreseeing the Benefits of Incidental Supervision. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1782–1800. 4 indexed citations

Chen, Shuxiao, Hangfeng He, & Weijie Su. (2020). Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity. arXiv (Cornell University). 33. 15847–15858. 1 indexed citations

He, Hangfeng & Weijie Su. (2020). The Local Elasticity of Neural Networks. arXiv (Cornell University). 3 indexed citations

Mamou, Jonathan, et al.. (2020). QANom: Question-Answer driven SRL for Nominalizations. 3069–3083. 14 indexed citations

10.

He, Hangfeng, et al.. (2020). Understanding Spatial Relations through Multiple Modalities. Language Resources and Evaluation. 2368–2372. 1 indexed citations

11.

Xu, Jingjing, Hangfeng He, Xu Sun, Xuancheng Ren, & Sujian Li. (2018). Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(11). 2142–2152. 23 indexed citations

12.

He, Hangfeng & Xu Sun. (2017). F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media. 713–718. 82 indexed citations

13.

He, Hangfeng, et al.. (2017). Neural Networks for Negation Cue Detection in Chinese. Edinburgh Research Explorer. 59–63. 1 indexed citations

14.

Lopez, Adam, et al.. (2017). Detecting negation scope is easy, except when it isn't. Edinburgh Research Explorer (University of Edinburgh). 58–63. 18 indexed citations

15.

He, Hangfeng & Xu Sun. (2017). A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 85 indexed citations

16.

Lopez, Adam, et al.. (2017). Detecting negation scope is easy, except when it isn't. Edinburgh Research Explorer (University of Edinburgh). 58–63. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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