Long Li

1.6k citations
109 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Long Li

98 papers receiving 1.1k citations

Long Li's Hit Papers

Differential evolution based on covariance matrix learning and bimodal distribution parameter setting 2014 · 285 citations
2850+4+8Years since publication50100150200250

Peers

Long Li
Comparison fields: 5 of 118
  • Artificial Intelligence 493
  • Computational Theory and Mathematics 195
  • Information Systems 186
  • Computer Networks and Communications 183
  • Signal Processing 72
Replace Waqas Haider Bangyal with:
Waqas Haider Bangyal Pakistan
Liping Xie China
Maryam Muti Altalhi Saudi Arabia
Sheng-Uei Guan China
Maria Habib Jordan
Kai Wu China
Ravie Chandren Muniyandi Malaysia
Chih‐Wei Hsu United States
Ricardo Aler Spain
Jiejun Xu United States
Long Li relative to Waqas Haider Bangyal Pakistan Waqas Haider Bangyal's profile →
Citations per field
00.5×5×10×15×21.5×
Waqas Haider Bangyal · 1×
Citations per year

Countries citing papers authored by Long Li

Since Specialization
Citations

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

Fields of papers citing papers by Long Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Differential evolution based on covariance matrix learning and bimodal distribution parameter setting
Hit paper breakdown →
2014285
2 201651
3 202150
4 201748
5 200942
6 202334
7 201033
8 202130
9 202228
10 202222
11 202421
12 201720
13 202120
14 202117
15 202417
16 202516
17 202215
18 202215
19
An Overview of Typical Methods for Human Reliability Analysis
200714
20 202413

About Long Li

Long Li is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 109 papers that have together received 1.1k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (15 papers), Cryptography and Data Security (7 papers), Anomaly Detection Techniques and Applications (6 papers), Human Pose and Action Recognition (5 papers), Privacy, Security, and Data Protection (5 papers), Advanced Graph Neural Networks (5 papers), Advanced MIMO Systems Optimization (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Artificial Intelligence (493 citations), Computational Theory and Mathematics (195 citations), Information Systems (186 citations), Computer Networks and Communications (183 citations) and Signal Processing (72 citations). Long Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yong Wang, Tingwen Huang, Han‐Xiong Li, Liang Chang, Tianlong Gu, Yining Liu, Xin Robert Luo, Qinyu Liao, Anil Gurung and Jie Luo. Their work appears in journals such as IEEE Access, Wireless Communications and Mobile Computing, Membranes, Pattern Recognition and Frontiers of Computer Science.

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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