Ping Kong

3.6k citations
53 papers · 2.5k · 1 hit paper · h-index 18

Impact in

Papers in

Ping Kong

47 papers receiving 2.5k citations

Ping Kong's Hit Papers

The pathogenesis of cardiac fibrosis 2013 · 1.3k citations
1.3k0+4+8Years since publication4008001.2k

Peers

Ping Kong
Comparison fields: 5 of 146
  • Cardiology and Cardiovascular Medicine 1.1k
  • Biological Psychiatry 63
  • Cancer Research 197
  • Molecular Biology 894
  • Immunology and Allergy 54
Replace Lin Zhang with:
Lin Zhang China
Mark Chaffin United States
Wei Guo China
René R. Sevag Packard United States
Kazuhiko Nishida Japan
Jonathan M. Dreyfuss United States
Qingtong Wang China
Xiaohui Zhou China
Vipul C. Chitalia United States
Jinsheng Li China
Ping Kong relative to Lin Zhang China Lin Zhang's profile →
Citations per field
00.5×4.8×
Lin Zhang · 1×
Citations per year

Countries citing papers authored by Ping Kong

Since Specialization
Citations

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

Fields of papers citing papers by Ping Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The pathogenesis of cardiac fibrosis
Hit paper breakdown →
20131267
2 2013151
3 2017140
4 2013112
5 2015109
6 2017101
7 201985
8 201379
9 201579
10 201333
11 201431
12 202031
13 201530
14 201727
15 202223
16 201522
17 201920
18 201918
19 201817
20 202114

About Ping Kong

Ping Kong is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 53 papers that have together received 2.5k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (9 papers), Advanced Steganography and Watermarking Techniques (8 papers), Digital Media Forensic Detection (7 papers), Chaos-based Image/Signal Encryption (6 papers), Particle Dynamics in Fluid Flows (5 papers), Atmospheric Ozone and Climate (4 papers), Atmospheric chemistry and aerosols (4 papers) and Cardiac Fibrosis and Remodeling (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Biological Psychiatry (63 citations), Cancer Research (197 citations), Molecular Biology (894 citations) and Immunology and Allergy (54 citations). Ping Kong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nikolaos G. Frangogiannis, Panagiota Christia, Amit Saxena, Ya Su, Michele Cavalera, Arti V. Shinde, Carlos Gonzalez‐Quesada, Ilaria Russo, Chuan Qin and Dong-Wook Lee. Their work appears in journals such as Powder Technology, Optik, Asian-Australasian Journal of Animal Sciences, BMC Microbiology and Applied Microbiology and Biotechnology.

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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