Jun Ling

732 citations
43 papers · 551 · h-index 11

Impact in

Papers in

Jun Ling

36 papers receiving 543 citations

Peers

Jun Ling
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 246
  • Signal Processing 90
  • Computer Graphics and Computer-Aided Design 18
  • Ocean Engineering 68
  • Control and Systems Engineering 84
Replace Hongyan Wang with:
Hongyan Wang China
Jiye Qian China
Jacques Boonært France
Yunzhu Li China
Xinxin Zhang China
Kui Fu China
Qiangqiang Wu China
Mark W. Koch United States
Ruixuan Cong China
Chee‐Hung Henry Chu United States
Jun Ling relative to Hongyan Wang China Hongyan Wang's profile →
Citations per field
00.5×2×2.5×
Hongyan Wang · 1×
Citations per year

Countries citing papers authored by Jun Ling

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202197
2 200993
3 202357
4 202156
5 202031
6 202223
7 200921
8 202116
9 202316
10 202312
11 202211
12 202111
13 202211
14 202210
15 202310
16 20229
17 20229
18 20148
19 20116
20 20205

About Jun Ling

Jun Ling is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering, Oceanography and Computer Graphics and Computer-Aided Design, having authored 43 papers that have together received 551 indexed citations. Recurring topics across this work include Face recognition and analysis (11 papers), Generative Adversarial Networks and Image Synthesis (10 papers), Speech and Audio Processing (6 papers), Video Surveillance and Tracking Methods (6 papers), Advanced Image Processing Techniques (5 papers), Additive Manufacturing Materials and Processes (3 papers), Fault Detection and Control Systems (3 papers) and Maritime Navigation and Safety (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (246 citations), Signal Processing (90 citations), Computer Graphics and Computer-Aided Design (18 citations), Ocean Engineering (68 citations) and Control and Systems Engineering (84 citations). Jun Ling has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Li Song, Rong Xie, Petre Stoica, Jian Li, Xiao Gu, Xinqiang Chen, Meilin Wang, Chaofeng Li, Yongsheng Yang and Huafeng Wu. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, Journal of Magnetic Resonance, The Journal of the Acoustical Society of America, Frontiers in Neurorobotics and Multimedia Tools and 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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