Shan Cong

617 total citations
65 papers, 353 citations indexed

About

Shan Cong is a scholar working on Artificial Intelligence, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shan Cong has authored 65 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Molecular Biology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shan Cong's work include Target Tracking and Data Fusion in Sensor Networks (11 papers), Bioinformatics and Genomic Networks (6 papers) and Advanced Fiber Optic Sensors (5 papers). Shan Cong is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (11 papers), Bioinformatics and Genomic Networks (6 papers) and Advanced Fiber Optic Sensors (5 papers). Shan Cong collaborates with scholars based in China, United States and Hong Kong. Shan Cong's co-authors include Liu Hong, Xiaohui Yao, Lang Hong, Andrew J. Saykin, Shannon L. Risacher, Li Shen, Stephen Scott, Yue Wang, Long Chen and John D. West and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Analytical Chemistry.

In The Last Decade

Shan Cong

58 papers receiving 349 citations

Peers

Shan Cong
Comparison fields: 5 of 100
  • Artificial Intelligence 113
  • Molecular Biology 63
  • Control and Systems Engineering 51
  • Computer Networks and Communications 42
  • Physiology 38
Replace Yingwei Li with:
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Citations per field, relative to Shan Cong
Shan Cong · 1×
Citations per year, relative to Shan Cong
Shan Cong · 1×

Countries citing papers authored by Shan Cong

Since Specialization
Citations

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

Fields of papers citing papers by Shan Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Cong. A scholar is included among the top collaborators of Shan Cong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shan Cong. Shan Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 7
5 4
6 9
7 32
8 18
9 1
10 3
11 1
12 10
13 6
14 16
15 1
16 6
17 9
18 14
19 2
20 5

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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