Lihong Wang

8.4k total citations · 2 hit papers
129 papers, 3.6k citations indexed

About

Lihong Wang is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Information Systems. According to data from OpenAlex, Lihong Wang has authored 129 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 29 papers in Cognitive Neuroscience and 17 papers in Information Systems. Recurrent topics in Lihong Wang's work include Topic Modeling (30 papers), Functional Brain Connectivity Studies (23 papers) and Advanced Graph Neural Networks (21 papers). Lihong Wang is often cited by papers focused on Topic Modeling (30 papers), Functional Brain Connectivity Studies (23 papers) and Advanced Graph Neural Networks (21 papers). Lihong Wang collaborates with scholars based in China, United States and United Kingdom. Lihong Wang's co-authors include Hao Peng, Gregory McCarthy, Shu Guo, Florin Dolcos, Jianxin Li, Quan Wang, Li Guo, Kevin S. LaBar, Senzhang Wang and Md Zakirul Alam Bhuiyan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biological Psychiatry.

In The Last Decade

Lihong Wang

114 papers receiving 3.5k citations

Hit Papers

Spatial temporal incidence dynamic graph neural networks ... 2019 2026 2021 2023 2020 2019 50 100 150 200

Peers

Lihong Wang
Comparison fields: 5 of 166
  • Artificial Intelligence 1.3k
  • Cognitive Neuroscience 878
  • Experimental and Cognitive Psychology 413
  • Building and Construction 377
  • Transportation 324
Replace Chi‐Hua Chen with:
Chi‐Hua Chen Taiwan
Luca Chittaro Italy
Ben Kröse Netherlands
Robert L. Smith United States
Mahdi Jalili Australia
Junming Shao China
Antonio Fernández‐Caballero Spain
Fred Cummins Ireland
Mufti Mahmud United Kingdom
Francesco Bellotti Italy
Chi‐Hua Chen Taiwan View profile →
Citations per field, relative to Lihong Wang
Lihong Wang · 1×
Citations per year, relative to Lihong Wang
Lihong Wang · 1×

Countries citing papers authored by Lihong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lihong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lihong Wang. A scholar is included among the top collaborators of Lihong Wang 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 Lihong Wang. Lihong Wang 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 0
2 0
3 1
4 8
5 0
6 1
7 0
8 8
9 8
10 2
11 8
12 31
13 56
14 49
15 26
16
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting breakdown →
243
17 124
18
Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction breakdown →
225
19 9
20
Plants diversity and biomass distribution of vegetation restoration in burned area of Great Xing'an Mountains.
2

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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