Xianpei Han

4.8k total citations · 3 hit papers
95 papers, 2.1k citations indexed

About

Xianpei Han is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Xianpei Han has authored 95 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Artificial Intelligence, 18 papers in Management Science and Operations Research and 16 papers in Information Systems. Recurrent topics in Xianpei Han's work include Topic Modeling (69 papers), Natural Language Processing Techniques (51 papers) and Data Quality and Management (18 papers). Xianpei Han is often cited by papers focused on Topic Modeling (69 papers), Natural Language Processing Techniques (51 papers) and Data Quality and Management (18 papers). Xianpei Han collaborates with scholars based in China, United States and Germany. Xianpei Han's co-authors include Le Sun, Jun Zhao, Hongyu Lin, Yaojie Lu, Le Sun, Jiawei Chen, Le Sun, Hua Wu, Xinyan Xiao and Q. Liu and has published in prestigious journals such as Artificial Intelligence, Neurocomputing and Information Processing & Management.

In The Last Decade

Xianpei Han

89 papers receiving 1.9k citations

Hit Papers

Unified Structure Generation for Universal Information Ex... 2022 2026 2023 2024 2022 2024 2024 50 100 150 200
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.

  1. Unified Structure Generation for Universal Information Extraction
    2022 215 citations Yaojie Lu, Q. Liu et al. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) profile →
  2. Benchmarking Large Language Models in Retrieval-Augmented Generation
    2024 128 citations Jiawei Chen, Hongyu Lin et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  3. AI for social science and social science of AI: A survey
    2024 36 citations Hongyu Lin, Xianpei Han et al. Information Processing & Management profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianpei Han China 25 1.8k 487 405 227 115 95 2.1k
Gideon Mann United States 19 1.4k 0.8× 188 0.4× 294 0.7× 219 1.0× 105 0.9× 30 1.7k
Marieke van Erp Netherlands 18 1.0k 0.6× 181 0.4× 242 0.6× 123 0.5× 102 0.9× 63 1.2k
Julio Gonzalo Spain 23 1.6k 0.9× 302 0.6× 700 1.7× 212 0.9× 140 1.2× 98 2.0k
Stephen H. Bach United States 12 1.1k 0.6× 138 0.3× 203 0.5× 162 0.7× 100 0.9× 32 1.4k
Zhifang Sui China 24 1.7k 0.9× 124 0.3× 259 0.6× 359 1.6× 101 0.9× 117 2.0k
Javier Artiles Spain 12 792 0.4× 291 0.6× 376 0.9× 140 0.6× 91 0.8× 22 1.1k
Clare R. Voss United States 18 1.2k 0.7× 125 0.3× 311 0.8× 145 0.6× 105 0.9× 76 1.4k
Chuanqi Tan China 22 2.0k 1.1× 138 0.3× 250 0.6× 267 1.2× 146 1.3× 43 2.2k
Baobao Chang China 26 2.5k 1.4× 164 0.3× 346 0.9× 542 2.4× 130 1.1× 110 2.8k
Vincent Ng United States 27 1.8k 1.0× 129 0.3× 667 1.6× 103 0.5× 174 1.5× 91 2.3k

Countries citing papers authored by Xianpei Han

Since Specialization
Citations

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

Fields of papers citing papers by Xianpei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianpei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Xianpei Han. A scholar is included among the top collaborators of Xianpei Han 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 Xianpei Han. Xianpei Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lou, Jie, et al.. (2025). On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation. 5215–5231. 1 indexed citations
2.
Yuan, Qingchun, et al.. (2025). ShortGPT: Layers in Large Language Models are More Redundant Than You Expect. 20192–20204. 4 indexed citations
3.
Liu, Yanjiang, Hongyu Lin, Yaojie Lu, et al.. (2024). Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18126–18134. 26 indexed citations
4.
5.
Lin, Hongyu, et al.. (2024). The Life Cycle of Knowledge in Big Language Models: A Survey. 21(2). 217–238. 2 indexed citations
6.
Lin, Hongyu, et al.. (2023). Dialogue Rewriting via Skeleton-Guided Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13825–13833.
7.
Zheng, Xin, et al.. (2023). Toward Unified Controllable Text Generation via Regular Expression Instruction. 1–14. 1 indexed citations
8.
Lin, Hongyu, et al.. (2022). Pre-training to Match for Unified Low-shot Relation Extraction. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 5785–5795. 14 indexed citations
9.
Chen, Jiawei, et al.. (2022). Few-shot Named Entity Recognition with Self-describing Networks. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 5711–5722. 33 indexed citations
10.
Lu, Yaojie, Q. Liu, Xinyan Xiao, et al.. (2022). Unified Structure Generation for Universal Information Extraction. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 5755–5772. 215 indexed citations breakdown →
11.
Lin, Hongyu, et al.. (2022). Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 5796–5808. 10 indexed citations
12.
Hui, Kai-Lung, et al.. (2021). Contextualized query expansion via unsupervised chunk selection for text retrieval. Information Processing & Management. 58(5). 102672–102672. 20 indexed citations
13.
Lin, Hongyu, Xianpei Han, Le Sun, et al.. (2021). Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases. 1860–1874. 44 indexed citations
14.
Zheng, Zhi, Kai Hui, Ben He, et al.. (2020). BERT-QE: Contextualized Query Expansion for Document Re-ranking. 4718–4728. 34 indexed citations
15.
Lin, Hongyu, Yaojie Lu, Jialong Tang, et al.. (2020). A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?. 7291–7300. 22 indexed citations
16.
Chen, Bo, Bo An, Le Sun, & Xianpei Han. (2018). Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing. International Conference on Computational Linguistics. 892–904. 3 indexed citations
17.
Shi, Bei, Zhenzhong Zhang, Le Sun, & Xianpei Han. (2014). A Probabilistic Co-Bootstrapping Method for Entity Set Expansion. International Conference on Computational Linguistics. 2280–2290. 10 indexed citations
18.
Han, Xianpei & Le Sun. (2011). A Generative Entity-Mention Model for Linking Entities with Knowledge Base. Meeting of the Association for Computational Linguistics. 945–954. 88 indexed citations
19.
Han, Xianpei, et al.. (2011). ISCAS at Subtopic Mining Task in NTCIR9. NTCIR. 3 indexed citations
20.
Han, Xianpei & Jun Zhao. (2009). NLPR_KBP in TAC 2009 KBP Track: A Two-Stage Method to Entity Linking. Theory and applications of categories. 15 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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