Tianlin Li

634 total citations · 1 hit paper
46 papers, 308 citations indexed

About

Tianlin Li is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Tianlin Li has authored 46 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Information Systems and 10 papers in Computer Networks and Communications. Recurrent topics in Tianlin Li's work include Adversarial Robustness in Machine Learning (9 papers), Simulation Techniques and Applications (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Tianlin Li is often cited by papers focused on Adversarial Robustness in Machine Learning (9 papers), Simulation Techniques and Applications (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Tianlin Li collaborates with scholars based in China, Singapore and United States. Tianlin Li's co-authors include Aishan Liu, Yang Liu, Yitao Xu, Chongzhi Zhang, Xianglong Liu, Yuqing Ma, Hang Yu, Qing Guo, Xiaofei Xie and Yisong Xiao and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Image Processing and Information Sciences.

In The Last Decade

Tianlin Li

43 papers receiving 300 citations

Hit Papers

Teaching Code LLMs to Use Autocompletion Tools in Reposit... 2025 2026 2025 5 10 15

Peers

Tianlin Li
Comparison fields: 5 of 65
  • Artificial Intelligence 178
  • Computer Vision and Pattern Recognition 72
  • Information Systems 44
  • Computer Networks and Communications 32
  • Electrical and Electronic Engineering 31
Replace Hirotoshi Yasuoka with:
Hirotoshi Yasuoka Japan
Rashi Kohli India
Xingen Wang China
Ahoud Alhazmi Australia
Zhiyi Tian Australia
Mariam Lahami Tunisia
Andrea Paudice Italy
Ali Shahin Shamsabadi United Kingdom
Houssem Ben Braiek Canada
Hirotoshi Yasuoka Japan View profile →
Citations per field, relative to Tianlin Li
Tianlin Li · 1×
Citations per year, relative to Tianlin Li
Tianlin Li · 1×

Countries citing papers authored by Tianlin Li

Since Specialization
Citations

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

Fields of papers citing papers by Tianlin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianlin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Tianlin Li. A scholar is included among the top collaborators of Tianlin 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 Tianlin Li. Tianlin 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 2
2 9
3 1
4 3
5 2
6 4
7 10
8 3
9 16
10 1
11 6
12 7
13 1
14 18
15 60
16 1
17 4
18
Interpreting and Improving Adversarial Robustness with Neuron Sensitivity.
7
19 4
20 4

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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