Longhai Li

1000 citations
42 papers · 633 · h-index 13

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces

Papers in

Longhai Li

39 papers receiving 614 citations

Peers

Longhai Li
Comparison fields: 5 of 134
  • Statistics and Probability 130
  • Cognitive Neuroscience 79
  • Physical Therapy, Sports Therapy and Rehabilitation 17
  • Statistics, Probability and Uncertainty 27
  • Artificial Intelligence 106
Replace Irene Epifanio with:
Irene Epifanio Spain
Norou Diawara United States
Alessia Pini Italy
Connor J. Dalzell Canada
Jonathan Gillard United Kingdom
Pierre Lafaye de Micheaux Canada
Joan Fisher Box
Joaquim P. Marques de Sá Portugal
Florentina Bunea United States
Linda C. Malone United States
Longhai Li relative to Irene Epifanio Spain Irene Epifanio's profile →
Citations per field
00.5×2.7×
Irene Epifanio · 1×
Citations per year

Countries citing papers authored by Longhai Li

Since Specialization
Citations

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

Fields of papers citing papers by Longhai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013149
2 202088
3 202056
4 201845
5 201937
6 202228
7 202024
8 201520
9 202318
10 202015
11 202314
12 202314
13 202113
14 201812
15 202110
16 20239
17 20178
18 20088
19 20128
20 20166

About Longhai Li

Longhai Li is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Economics and Econometrics, having authored 42 papers that have together received 633 indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Statistical Methods and Bayesian Inference (8 papers), Bayesian Methods and Mixture Models (5 papers), Advanced Statistical Methods and Models (4 papers), Robotic Path Planning Algorithms (4 papers), Genetic and phenotypic traits in livestock (3 papers), Functional Brain Connectivity Studies (3 papers) and Spatial and Panel Data Analysis (3 papers). The work is most often cited by research in Statistics and Probability (130 citations), Cognitive Neuroscience (79 citations), Physical Therapy, Sports Therapy and Rehabilitation (17 citations), Statistics, Probability and Uncertainty (27 citations) and Artificial Intelligence (106 citations). Longhai Li has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Weixin Yao, Fang‐Xiang Wu, Wutao Yin, Cindy Feng, Alireza Sadeghpour, Anthony Kusalik, Wenjie Sun, Marwa Farag, Yongqing Gao and Wei Xu. Their work appears in journals such as Journal of Statistical Computation and Simulation, Neurocomputing, BMC Bioinformatics, Electronics and Scandinavian Journal of Statistics.

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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