Cong Jin

1.2k citations
91 papers · 813 · h-index 18

Impact in

Papers in

Cong Jin

80 papers receiving 778 citations

Peers

Cong Jin
Comparison fields: 5 of 131
  • Safety, Risk, Reliability and Quality 205
  • Polymers and Plastics 224
  • Signal Processing 111
  • Computer Vision and Pattern Recognition 191
  • Aerospace Engineering 93
Replace Liu Liu with:
Liu Liu China
Jinghong Wang China
Huaibin Wang China
Luiz Henrique Meyer Brazil
Jia Li China
Jie Hu China
Yao Yao China
Shen Zhang China
Cong Jin relative to Liu Liu China Liu Liu's profile →
Citations per field
00.5×3.4×
Liu Liu · 1×
Citations per year

Countries citing papers authored by Cong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201373
2 201844
3 201344
4 201139
5 201837
6 202137
7 201635
8 202328
9 202028
10 202226
11 201224
12 201923
13 201723
14 202321
15 202121
16 202020
17 202318
18 201918
19 201417
20 200615

About Cong Jin

Cong Jin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Safety, Risk, Reliability and Quality, Polymers and Plastics and Aerospace Engineering, having authored 91 papers that have together received 813 indexed citations. Recurring topics across this work include Music and Audio Processing (17 papers), Fire dynamics and safety research (17 papers), Flame retardant materials and properties (15 papers), Music Technology and Sound Studies (12 papers), Thermal and Kinetic Analysis (7 papers), Combustion and Detonation Processes (7 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (205 citations), Polymers and Plastics (224 citations), Signal Processing (111 citations), Computer Vision and Pattern Recognition (191 citations) and Aerospace Engineering (93 citations). Cong Jin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qiang Xu, Haitao Liu, Yong Jiang, Rhoda Afriyie Mensah, Solomon Asante‐Okyere, Andrea Majlingová, Ming Yan, Yun Tie, Lin Jiang and Yao Yevenyo Ziggah. Their work appears in journals such as Journal of Thermal Analysis and Calorimetry, Wireless Communications and Mobile Computing, Scientific Reports, Geomatics Natural Hazards and Risk and Journal of Clinical Investigation.

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.

Explore authors with similar magnitude of impact