Xianpei Han

4.8k citations
95 papers · 2.1k indexed · 3 hit papers · h-index 25
Topics
Topic Modeling (69 papers)Natural Language Processing Techniques (51 papers)Data Quality and Management (18 papers)

In The Last Decade

Xianpei Han

89 papers receiving 1.9k citations

Hit Papers

Unified Structure Generation for Universal Information Ex...202220262023202420222024202450100150200

Peers

Xianpei Han
Comparison fields: 5 of 98
  • Artificial Intelligence 1.8k
  • Management Science and Operations Research 487
  • Information Systems 405
  • Computer Vision and Pattern Recognition 227
  • Molecular Biology 115
Replace Chuanqi Tan with:
Chuanqi Tan China
Stephen H. Bach United States
Zhifang Sui China
Baobao Chang China
Andreas Vlachos United Kingdom
Jonathan Berant Israel
Leonardo Rocha Brazil
Bonan Min United States
William Webber Australia
Aitor Soroa Spain
Xianpei Han relative to Chuanqi Tan China Chuanqi Tan's profile →
Citations per field
00.5×3.5×
Chuanqi Tan · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 4
4 0
5 0
6 26
7 2
8 1
9
Unified Structure Generation for Universal Information Extractionbreakdown →
215
10 10
11 33
12 126
13 44
14 34
15 22
16 32
17 53
18
Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing
3
19
A Probabilistic Co-Bootstrapping Method for Entity Set Expansion
10
20
An Entity-Topic Model for Entity Linking
46

About Xianpei Han

Xianpei Han is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems, having authored 95 papers that have together received 2.1k indexed citations. Recurring topics across this work include Topic Modeling (69 papers), Natural Language Processing Techniques (51 papers) and Data Quality and Management (18 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Management Science and Operations Research (487 citations) and Information Systems (405 citations). Xianpei Han has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Le Sun, Jun Zhao, Hongyu Lin, Yaojie Lu, Le Sun, Jiawei Chen, Le Sun, Hua Wu, Ben He and Xinyan Xiao. Their work appears in journals such as Artificial Intelligence, Neurocomputing and Information Processing & Management.

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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