Yichen Li

1.4k citations
60 papers · 562 · h-index 13

Impact in

Papers in

Yichen Li

53 papers receiving 556 citations

Peers

Yichen Li
Comparison fields: 5 of 96
  • Software 40
  • Soil Science 72
  • Environmental Engineering 75
  • Computer Networks and Communications 115
  • Pollution 56
Replace Philip Sallis with:
Philip Sallis New Zealand
Ruirui Huang China
Muhammad Rashid Naeem China
Weifeng Zhang China
Manuel Jiménez Buendía Spain
Qingling Zhao China
Babita Majhi India
Pengfei Zheng China
Sarra Alqahtani United States
Yichen Li relative to Philip Sallis New Zealand Philip Sallis's profile →
Citations per field
00.5×10×15×20.2×
Philip Sallis · 1×
Citations per year

Countries citing papers authored by Yichen Li

Since Specialization
Citations

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

Fields of papers citing papers by Yichen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020109
2 201876
3 202437
4 202332
5 202328
6 202226
7 201425
8 202420
9 201820
10 202317
11 202413
12 201712
13 202112
14 202211
15 202011
16 201810
17 202210
18 20249
19 20249
20 20238

About Yichen Li

Yichen Li is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Software and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 562 indexed citations. Recurring topics across this work include Software System Performance and Reliability (10 papers), Software Testing and Debugging Techniques (7 papers), Software Engineering Research (6 papers), Anomaly Detection Techniques and Applications (5 papers), Network Security and Intrusion Detection (4 papers), Privacy-Preserving Technologies in Data (3 papers), Advanced Malware Detection Techniques (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Software (40 citations), Soil Science (72 citations), Environmental Engineering (75 citations), Computer Networks and Communications (115 citations) and Pollution (56 citations). Yichen Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Michael R. Lyu, Alberto Martilli, Pak Wai Chan, Silvana Di Sabatino, Yintong Huo, Xiaona Yu, Weihua Guo, Yufei Gao, Ning Du and Lele Liu. Their work appears in journals such as IEEE Transactions on Software Engineering, Journal of Affective Disorders, ACM Transactions on Software Engineering and Methodology, Epidemiology and Infection and Journal of Pipeline Science and Engineering.

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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