Chun-hung Li

513 citations
22 papers · 337 · h-index 9

Impact in

Papers in

Chun-hung Li

21 papers receiving 324 citations

Peers

Chun-hung Li
Comparison fields: 5 of 67
  • Signal Processing 99
  • Ocean Engineering 60
  • Artificial Intelligence 101
  • Computer Networks and Communications 64
  • Computer Vision and Pattern Recognition 56
Replace Diethelm Ostry with:
Diethelm Ostry Australia
Cris Koutsougeras United States
B. Baykal Türkiye
Rongkun Jiang China
Jingmei Liu China
Bei Hua China
Pietro Paglierani Italy
Keren Tan United States
Chao Cheng United States
Chun-hung Li relative to Diethelm Ostry Australia Diethelm Ostry's profile →
Citations per field
00.5×1.5×
Diethelm Ostry · 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 200436
3 201926
4 201925
5 200515
6 200414
7 20078
8
Trace Solution Paths for SVMs via Parametric Quadratic Programming
20088
9 20108
10 20085
11 20095
12 20065
13 20044
14 20074
15 20103
16 20083
17 20073
18 20053
19 20053
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 337 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (5 papers), Complex Network Analysis Techniques (5 papers), Expert finding and Q&A systems (4 papers), Face and Expression Recognition (4 papers), Topic Modeling (4 papers), Recommender Systems and Techniques (4 papers), Data Mining Algorithms and Applications (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Signal Processing (99 citations), Ocean Engineering (60 citations), Artificial Intelligence (101 citations), Computer Networks and Communications (64 citations) and Computer Vision and Pattern Recognition (56 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, Chongyan Chen, Xinghua Deng, William K. Cheung, James T. Kwok, Jian Huang and Chi-Kwong Li. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Consumer Electronics Magazine, Pattern Recognition, EURASIP Journal on Advances in Signal Processing and HKBU Institutional Repository (Hong Kong Baptist University).

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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