Kailun Wu

28 papers receiving 328 citations

Peers

Kailun Wu
Comparison fields: 5 of 91
  • Computational Mathematics 2
  • Computer Vision and Pattern Recognition 66
  • Signal Processing 33
  • Transportation 19
  • Surgery 108
Replace Junfeng Wu with:
Junfeng Wu China
Vishal Kumar India
Guanxiong Liu United States
Jong Hee Kang South Korea
Yuezhou Wu China
Michael Kamp Germany
Zihao Shen China
Erik Dovgan Slovenia
Xue-Guang Wang China
G. Sathish Kumar India
Kailun Wu relative to Junfeng Wu China Junfeng Wu's profile →
Citations per field
00.5×5.7×
Junfeng Wu · 1×
Citations per year

Countries citing papers authored by Kailun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kailun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201650
2 202241
3 202023
4 201723
5 202419
6 201919
7 202117
8 201916
9 201614
10 201913
11 202312
12 202011
13 201811
14 202211
15 202110
16 201810
17 20209
18
Sparse Coding with Gated Learned ISTA
20208
19 20145
20 20184

About Kailun Wu

Kailun Wu is a scholar working on Surgery, Computer Vision and Pattern Recognition, Artificial Intelligence, Surfaces, Coatings and Films and Urban Studies, having authored 31 papers that have together received 343 indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (6 papers), Adversarial Robustness in Machine Learning (2 papers), Optical Coatings and Gratings (2 papers), Shoulder and Clavicle Injuries (2 papers), Recommender Systems and Techniques (2 papers), Photonic Crystals and Applications (2 papers), Advanced Computing and Algorithms (2 papers) and Heat Transfer and Optimization (1 paper). The work is most often cited by research in Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (66 citations), Signal Processing (33 citations), Transportation (19 citations) and Surgery (108 citations). Kailun Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Changshui Zhang, Jiong Jiong Guo, Shenghao Wang, Tao Liu, Yiwen Guo, Huilin Yang, Bin Meng, Hao Liu, Wu Xu and Rui Lü. Their work appears in journals such as International Dental Journal, Journal of Orthopaedic Surgery and Research, Orthopaedic Journal of Sports Medicine, BMC Musculoskeletal Disorders and Arthroscopy The Journal of Arthroscopic and Related Surgery.

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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