Hanjie Chen

777 total citations · 1 hit paper
10 papers, 347 citations indexed

About

Hanjie Chen is a scholar working on Artificial Intelligence, Information Systems and Management and Infectious Diseases. According to data from OpenAlex, Hanjie Chen has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 1 paper in Information Systems and Management and 0 papers in Infectious Diseases. Recurrent topics in Hanjie Chen's work include Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Hanjie Chen is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Hanjie Chen collaborates with scholars based in United States and China. Hanjie Chen's co-authors include Yangfeng Ji, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Mengnan Du, Shuaiqiang Wang, Haiyan Zhao, Yejin Choi and Swabha Swayamdipta and has published in prestigious journals such as ACM Transactions on Intelligent Systems and Technology and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Hanjie Chen

10 papers receiving 332 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Explainability for Large Language Models: A Survey

2024 232 citations Haiyan Zhao, Hanjie Chen et al. ACM Transactions on Intelligent Systems and Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanjie Chen United States	6	235	39	30	28	18	10	347
Jörg Schlötterer Germany	7	228 1.0×	42 1.1×	35 1.2×	42 1.5×	16 0.9×	25	339
Hengyi Cai China	9	269 1.1×	37 0.9×	66 2.2×	62 2.2×	16 0.9×	16	401
G. Deepti Raj India	4	121 0.5×	41 1.1×	21 0.7×	23 0.8×	18 1.0×	10	269
Christopher Akiki Germany	4	133 0.6×	25 0.6×	14 0.5×	21 0.8×	12 0.7×	10	201
Shaochen Zhong United States	3	140 0.6×	27 0.7×	42 1.4×	23 0.8×	10 0.6×	6	278
Milad Moradi Austria	11	274 1.2×	40 1.0×	44 1.5×	25 0.9×	12 0.7×	17	371
Hongye Jin United States	2	128 0.5×	28 0.7×	41 1.4×	20 0.7×	10 0.6×	2	241
Daniel Hesslow France	2	139 0.6×	23 0.6×	13 0.4×	24 0.9×	9 0.5×	4	194
Ruihua Song China	7	144 0.6×	23 0.6×	33 1.1×	87 3.1×	21 1.2×	20	322
Wenxiong Liao China	8	197 0.8×	29 0.7×	28 0.9×	27 1.0×	16 0.9×	16	271

Countries citing papers authored by Hanjie Chen

Since Specialization

Citations

This map shows the geographic impact of Hanjie Chen'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 Hanjie Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanjie Chen more than expected).

Fields of papers citing papers by Hanjie Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanjie Chen. 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 Hanjie Chen. The network helps show where Hanjie Chen may publish in the future.

Co-authorship network of co-authors of Hanjie Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hanjie Chen. A scholar is included among the top collaborators of Hanjie Chen 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 Hanjie Chen. Hanjie Chen 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:

10 of 10 papers shown

1.

Chen, Hanjie, et al.. (2025). Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions. 3563–3599. 5 indexed citations

2.

Zhao, Haiyan, Hanjie Chen, Fan Yang, et al.. (2024). Explainability for Large Language Models: A Survey. ACM Transactions on Intelligent Systems and Technology. 15(2). 1–38. 232 indexed citations breakdown →

3.

Chen, Hanjie, et al.. (2023). REV: Information-Theoretic Evaluation of Free-Text Rationales. 2007–2030. 10 indexed citations

4.

Chen, Hanjie, et al.. (2023). Improving Interpretability via Explicit Word Interaction Graph Layer. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13528–13537. 2 indexed citations

5.

Chen, Hanjie, et al.. (2022). Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification. 356–370. 1 indexed citations

6.

Chen, Hanjie, et al.. (2022). Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation. 2770–2784. 1 indexed citations

7.

Chen, Hanjie & Yangfeng Ji. (2022). Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 10463–10472. 12 indexed citations

8.

Chen, Hanjie, et al.. (2021). Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks. 3917–3930. 8 indexed citations

9.

Chen, Hanjie, et al.. (2020). Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. 5578–5593. 48 indexed citations

10.

Chen, Hanjie & Yangfeng Ji. (2020). Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. 4236–4251. 28 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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