Xin Li

14.4k total citations · 4 hit papers
558 papers, 8.9k citations indexed

About

Xin Li is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Xin Li has authored 558 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Artificial Intelligence, 90 papers in Information Systems and 55 papers in Sociology and Political Science. Recurrent topics in Xin Li's work include Complex Network Analysis Techniques (37 papers), Topic Modeling (26 papers) and Digital Marketing and Social Media (26 papers). Xin Li is often cited by papers focused on Complex Network Analysis Techniques (37 papers), Topic Modeling (26 papers) and Digital Marketing and Social Media (26 papers). Xin Li collaborates with scholars based in China, United States and Hong Kong. Xin Li's co-authors include Hsinchun Chen, Wai Lam, Lidong Bing, Chong Wang, Yuhong Guo, Zan Huang, Wenxuan Zhang, Yang Deng, Mengyue Wang and Lei Guo and has published in prestigious journals such as Journal of the American Chemical Society, Nature Materials and Bioinformatics.

In The Last Decade

Xin Li

503 papers receiving 8.5k citations

Hit Papers

The technology and economic determinants of cryptocurrenc... 2016 2026 2019 2022 2016 2022 2019 2024 100 200 300

Peers

Xin Li
Comparison fields: 5 of 224
  • Artificial Intelligence 3.1k
  • Information Systems 1.6k
  • Sociology and Political Science 987
  • Statistical and Nonlinear Physics 884
  • Molecular Biology 700
Replace Ying Ding with:
Ying Ding China
Fosca Giannotti Italy
Junjie Wu China
Dino Pedreschi Italy
Daniel Zeng China
Yicheng Zhang China
Andreas Flache Netherlands
Mark Steyvers United States
Foster Provost United States
Lyle Ungar United States
Ying Ding China View profile →
Citations per field, relative to Xin Li
Xin Li · 1×
Citations per year, relative to Xin Li
Xin Li · 1×

Countries citing papers authored by Xin Li

Since Specialization
Citations

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

Fields of papers citing papers by Xin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Li. A scholar is included among the top collaborators of Xin Li 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 Li. Xin Li 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 0
2 0
3 0
4 2
5 7
6 2
7 2
8 3
9 0
10 1
11 13
12 6
13 5
14 15
15 13
16 1
17 7
18 10
19 129
20 257

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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