Chun-hung Li

509 citations
22 papers · 330 · h-index 9

Impact in

Papers in

    • Advanced Text Analysis Techniques 5
    • Topic Modeling 4
    • Neural Networks and Applications 2
    • Sentiment Analysis and Opinion Mining 2
    • Expert finding and Q&A systems 4
    • Recommender Systems and Techniques 4

Chun-hung Li

21 papers receiving 317 citations

Peers

Chun-hung Li
Comparison fields: 5 of 69
  • Signal Processing 98
  • Ocean Engineering 60
  • Artificial Intelligence 100
  • Computer Networks and Communications 64
  • Computer Vision and Pattern Recognition 55
Replace B. Baykal with:
B. Baykal Türkiye
Cris Koutsougeras United States
Bei Hua China
S.M. Rovnyak United States
Keren Tan United States
Venkatraman Atti United States
Peter Stavroulakis Greece
Mohsen A. M. El‐Bendary Egypt
Chun-hung Li relative to B. Baykal Türkiye B. Baykal's profile →
Citations per field
00.5×3.3×
B. Baykal · 1×
Citations per year

Countries citing papers authored by Chun-hung Li

Since Specialization
Citations

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

Fields of papers citing papers by Chun-hung Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-hung Li. 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 Chun-hung Li. The network helps show where Chun-hung Li may publish in the future.

Co-authors

The 17 scholars most cited alongside Chun-hung Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chun-hung Li Line = papers co-authored together Chun-hung Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007155
2 200435
3 201925
4 201921
5 200515
6 200414
7 20108
8
Trace Solution Paths for SVMs via Parametric Quadratic Programming
20088
9 20078
10 20085
11 20095
12 20064
13 20044
14 20074
15 20053
16 20083
17 20073
18 20053
19 20103
20 20072

About Chun-hung Li

Chun-hung Li is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Signal Processing, having authored 22 papers that have together received 330 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (5 papers), Complex Network Analysis Techniques (5 papers), Face and Expression Recognition (4 papers), Expert finding and Q&A systems (4 papers), Recommender Systems and Techniques (4 papers), Topic Modeling (4 papers), Neural Networks and Applications (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Signal Processing (98 citations), Ocean Engineering (60 citations), Artificial Intelligence (100 citations), Computer Networks and Communications (64 citations) and Computer Vision and Pattern Recognition (55 citations). Chun-hung Li has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Zhili Wu, Joseph Kee‐Yin Ng, Karl R.P.H. Leung, Chunyu Kit, William K. Cheung, Xinghua Deng, James T. Kwok, Chongyan Chen, Jian Huang and Chi-Kwong Li. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Consumer Electronics Magazine, Pattern Recognition and EURASIP Journal on Advances in Signal Processing.

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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