Kang Li

1.7k citations
60 papers · 1.2k · h-index 19

Impact in

Papers in

Kang Li

56 papers receiving 1.1k citations

Peers

Kang Li
Comparison fields: 5 of 104
  • Statistical and Nonlinear Physics 355
  • Nuclear and High Energy Physics 244
  • Computer Vision and Pattern Recognition 386
  • Radiology, Nuclear Medicine and Imaging 241
  • Media Technology 104
Replace Junhao Zhang with:
Junhao Zhang China
Marcelo P. de Albuquerque Brazil
Shunsuke Ono Japan
T. P. Trzcinski Poland
Anders C. Hansen United Kingdom
Paul Rodríguez Peru
Xu Zhou China
Stéphane d’Ascoli France
Zuoqiang Shi China
Gilles Puy France
Kang Li relative to Junhao Zhang China Junhao Zhang's profile →
Citations per field
00.5×5×10×15.3×
Junhao Zhang · 1×
Citations per year

Countries citing papers authored by Kang Li

Since Specialization
Citations

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

Fields of papers citing papers by Kang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020124
2 201987
3 200783
4 201782
5 202075
6 201867
7 201057
8
Representation of Noncommutative Phase Space
200449
9 201036
10 202030
11 202329
12 202028
13 200927
14
The HMW effect in Noncommutative Quantum Mechanics
201226
15
Seeing is Not Believing: Camouflage Attacks on Image Scaling Algorithms
201925
16 200625
17 200322
18
Landau Problem in Noncommutative Quantum Mechanics
201222
19 200821
20 202218

About Kang Li

Kang Li is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Nuclear and High Energy Physics and Artificial Intelligence, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Noncommutative and Quantum Gravity Theories (21 papers), Black Holes and Theoretical Physics (14 papers), Quantum Mechanics and Non-Hermitian Physics (12 papers), Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (6 papers), Quantum Mechanics and Applications (5 papers), Quantum and electron transport phenomena (5 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (355 citations), Nuclear and High Energy Physics (244 citations), Computer Vision and Pattern Recognition (386 citations), Radiology, Nuclear Medicine and Imaging (241 citations) and Media Technology (104 citations). Kang Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Pheng‐Ann Heng, Lequan Yu, Jianhua Wang, Shujun Wang, Sayipjamal Dulat, Chi‐Wing Fu, Xin Yang, Xiaoping Cheng, Chi-Yi Chen and Xin Yang. Their work appears in journals such as Chinese Physics Letters, IEEE Transactions on Medical Imaging, Chinese Physics C, The European Physical Journal C and Medical Image Analysis.

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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