Chung‐Sheng Li

115 papers receiving 1.7k citations

Peers

Chung‐Sheng Li
Comparison fields: 5 of 91
  • Computer Networks and Communications 793
  • Computer Vision and Pattern Recognition 632
  • Signal Processing 590
  • Information Systems 352
  • Electrical and Electronic Engineering 323
Replace Zheng Qin with:
Zheng Qin China
Dan Lin United States
Wilfred Ng Hong Kong
Luis Javier García Villalba Spain
Guohui Li China
Benjamin Moseley United States
Shuai Ma China
Josh Rosen United States
Zhifeng Bao Australia
Buğra Gedik United States
Chung‐Sheng Li relative to Zheng Qin China Zheng Qin's profile →
Citations per field
00.5×2.9×
Zheng Qin · 1×
Citations per year

Countries citing papers authored by Chung‐Sheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Sheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Sheng 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 Chung‐Sheng Li. The network helps show where Chung‐Sheng Li may publish in the future.

Co-authorship network of co-authors of Chung‐Sheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐Sheng Li. A scholar is included among the top collaborators of Chung‐Sheng Li 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 Chung‐Sheng Li. Chung‐Sheng Li 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 4
2 7
3 9
4
ESaaSA 2015 - Proceedings of the International Workshop on Emerging Software as a Service and Analytics, Lisbon, Portugal, May 20-22, 2015
2
5 18
6 0
7 4
8
Media commerce
1
9
Secure transcoding of internet content
5
10 1
11 4
12
Supporting Incremental Join Queries on Ranked Inputs
113
13
Model-Based Multi-Modal Information Retrieval from Large Archives.
2
14 2
15 3
16 1
17 52
18 1
19 3
20
Differential Board/Backplane Optical Interconnects for High-speed Digital Systems Part I: Theory
12

About Chung‐Sheng Li

Chung‐Sheng Li is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 125 papers that have together received 1.9k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (33 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Data Management and Algorithms (22 papers). The work is most often cited by research in Signal Processing (590 citations), Computer Networks and Communications (793 citations) and Computer Vision and Pattern Recognition (632 citations). Chung‐Sheng Li has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include John R. Smith, Vittorio Castelli, Rakesh Mohan, Yuan‐Chi Chang, Lawrence D. Bergman, J. R. Smith, V. Castelli, R. Ramaswami, Philip S. Yu and Victor Chang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine and IEEE Transactions on Industry Applications.

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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