Xin Cong

1.3k total citations · 1 hit paper
39 papers, 868 citations indexed

About

Xin Cong is a scholar working on Artificial Intelligence, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Xin Cong has authored 39 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Molecular Biology and 6 papers in Infectious Diseases. Recurrent topics in Xin Cong's work include Viral gastroenteritis research and epidemiology (6 papers), Herpesvirus Infections and Treatments (5 papers) and Topic Modeling (4 papers). Xin Cong is often cited by papers focused on Viral gastroenteritis research and epidemiology (6 papers), Herpesvirus Infections and Treatments (5 papers) and Topic Modeling (4 papers). Xin Cong collaborates with scholars based in China, United States and United Kingdom. Xin Cong's co-authors include Yuan Sun, Yuzi Luo, Yongfeng Li, Hua-Ji Qiu, Chunhua Wang, Jin Yuan, Li Su, Yimin Wang, Dandan Liu and Min Du and has published in prestigious journals such as PLoS ONE, Cancer Research and Journal of Virology.

In The Last Decade

Xin Cong

36 papers receiving 859 citations

Hit Papers

ChatDev: Communicative Agents for Software Development 2024 2026 2025 2024 25 50 75

Peers

Xin Cong
Comparison fields: 5 of 115
  • Epidemiology 322
  • Agronomy and Crop Science 163
  • Animal Science and Zoology 145
  • Cardiology and Cardiovascular Medicine 144
  • Molecular Biology 136
Replace Pei‐Yu Lee with:
Pei‐Yu Lee Taiwan
Dan Heller Israel
Richard Howey United Kingdom
Kevin W. Bock United States
Khalid Naeem Pakistan
Won‐Il Kim South Korea
Tin Wee Tan Singapore
Guisheng Wang China
Zuoshuang Xiang United States
Pei‐Yu Lee Taiwan View profile →
Citations per field, relative to Xin Cong
Xin Cong · 1×
Citations per year, relative to Xin Cong
Xin Cong · 1×

Countries citing papers authored by Xin Cong

Since Specialization
Citations

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

Fields of papers citing papers by Xin Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Cong. A scholar is included among the top collaborators of Xin 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 Xin Cong. Xin 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 2
2 8
3 8
4 5
5 1
6 16
7
ChatDev: Communicative Agents for Software Development breakdown →
88
8 7
9 12
10 1
11 3
12 1
13 0
14 2
15 5
16 9
17 11
18 15
19 113
20 164

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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