Hai bin Li

62 papers receiving 731 citations

Peers

Hai bin Li
Comparison fields: 5 of 104
  • Statistics, Probability and Uncertainty 126
  • Modeling and Simulation 31
  • Computational Mechanics 109
  • Civil and Structural Engineering 109
  • Statistical and Nonlinear Physics 56
Replace Zhaoheng Liu with:
Zhaoheng Liu Canada
Yongfeng Yang China
Jilei Zhou China
Oded Yaniv Israel
Xiaojing Wang China
Yunjun Xu United States
Adrian Bekasiewicz Iceland
Radomil Matoušek Czechia
Tillmann Falck Belgium
Hai bin Li relative to Zhaoheng Liu Canada Zhaoheng Liu's profile →
Citations per field
00.5×2×4×6.2×
Zhaoheng Liu · 1×
Citations per year

Countries citing papers authored by Hai bin Li

Since Specialization
Citations

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

Fields of papers citing papers by Hai bin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006129
2 202463
3 199747
4 202444
5 202339
6 202439
7 200433
8 201732
9 201631
10 202127
11 201919
12 200415
13 201115
14 202315
15 201615
16 200613
17 201711
18 201710
19 202510
20 201810

About Hai bin Li

Hai bin Li is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering, Civil and Structural Engineering, Biomedical Engineering and Computational Mechanics, having authored 72 papers that have together received 761 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (16 papers), Concrete Corrosion and Durability (6 papers), Fatigue and fracture mechanics (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Fault Detection and Control Systems (5 papers), Nanofluid Flow and Heat Transfer (4 papers), Industrial Technology and Control Systems (3 papers) and Structural Health Monitoring Techniques (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (126 citations), Modeling and Simulation (31 citations), Computational Mechanics (109 citations), Civil and Structural Engineering (109 citations) and Statistical and Nonlinear Physics (56 citations). Hai bin Li has collaborated with scholars based in China, Mongolia and Australia. Frequent co-authors include Dongsheng Li, Hong-Zhong Huang, Xiaobo Nie, Chui‐Hua Kong, Xinhua Xu, Fei Hu, Yang Wang, Hongzhong Li, Ruoyu Hong and Liang Ma. Their work appears in journals such as Quality and Reliability Engineering International, Physics Letters A, IEEE Access, Neural Computing and Applications and Engineering Applications of Artificial Intelligence.

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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