Tingkai Sun

888 citations
19 papers · 650 · h-index 11

Impact in

Papers in

Tingkai Sun

18 papers receiving 623 citations

Peers

Tingkai Sun
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 438
  • Media Technology 123
  • Computational Mathematics 4
  • Signal Processing 66
  • Artificial Intelligence 196
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Zhonghua Liu China
Hakan Çevıkalp Türkiye
Xia De-shen China
Atalay Barkana Türkiye
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K. Etemad United States
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Citations per field
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Citations per year

Countries citing papers authored by Tingkai Sun

Since Specialization
Citations

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

Fields of papers citing papers by Tingkai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tingkai Sun, 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 Tingkai Sun Line = papers co-authored together Tingkai Sun links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2006177
2 2008110
3 200795
4 201167
5 201645
6 201030
7 200629
8 202224
9 200721
10 200911
11 201111
12 202210
13 20057
14
Double Center Particle Swarm Optimization Algorithm
20126
15 20233
16
A Linear Evolutionary Algorithm for Solving Constrained Optimization Problems
20092
17
Embedding Target Data's Structural Distribution Information into One-Class SVM and Its Linear Programming Algorithm
20091
18 20241
19 20240

About Tingkai Sun

Tingkai Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Media Technology and Signal Processing, having authored 19 papers that have together received 650 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Advanced Algorithms and Applications (3 papers), Remote-Sensing Image Classification (3 papers), Image Retrieval and Classification Techniques (3 papers), Text and Document Classification Technologies (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Neural Networks and Applications (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (438 citations), Media Technology (123 citations), Computational Mathematics (4 citations), Signal Processing (66 citations) and Artificial Intelligence (196 citations). Tingkai Sun has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Songcan Chen, Songcan Chen, Jingyu Yang, Zhe Wang, Pengfei Shi, Kezong Tang, Shang Gao, Xiaojing Yuan, Sujing Wang and Guoying Zhao. Their work appears in journals such as Neurocomputing, Neuropharmacology, Image and Vision Computing, IEEE Transactions on Smart Grid and Applied Mathematics and Computation.

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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