Wenhan Chao

830 total citations
27 papers, 289 citations indexed

About

Wenhan Chao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wenhan Chao has authored 27 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wenhan Chao's work include Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Wenhan Chao is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Wenhan Chao collaborates with scholars based in China, United States and Canada. Wenhan Chao's co-authors include Zhoujun Li, Senzhang Wang, Zhunchen Luo, Xiaoming Zhang, Lili Mou, Yu Wu, Hai Ye, Xin Jiang, Xiaojian Zhao and Ramesh Jain and has published in prestigious journals such as Applied Soft Computing, Signal Processing and Scientometrics.

In The Last Decade

Wenhan Chao

26 papers receiving 270 citations

Peers

Wenhan Chao
Comparison fields: 5 of 51
  • Artificial Intelligence 217
  • Computer Vision and Pattern Recognition 76
  • Information Systems 51
  • Political Science and International Relations 38
  • Electrical and Electronic Engineering 21
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Citations per field, relative to Wenhan Chao
Wenhan Chao · 1×
Citations per year, relative to Wenhan Chao
Wenhan Chao · 1×

Countries citing papers authored by Wenhan Chao

Since Specialization
Citations

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

Fields of papers citing papers by Wenhan Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenhan Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Wenhan Chao. A scholar is included among the top collaborators of Wenhan Chao 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 Wenhan Chao. Wenhan Chao 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
# Work Indexed citations
1 4
2 1
3 2
4 38
5 2
6 1
7
Interpretable Rationale Augmented Charge Prediction System
30
8 14
9 21
10 2
11
User Preference Representation Based on Psychometric Models
2
12 63
13 10
14 36
15
ZZX_MT: the BeiHang MT System for NTCIR-9 PatentMT Task
0
16
A Graph-based Bilingual Corpus Selection Approach for SMT
3
17 2
18 2
19 4
20
NUDT Machine Translation System for IWSLT2007
2

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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