Le Wang

124 papers receiving 2.8k citations

Le Wang's Hit Papers

SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction 2021 · 251 citations
2510+1+3Years since publication50100150200250

Peers

Le Wang
Comparison fields: 5 of 163
  • Information Systems and Management 412
  • Management Science and Operations Research 389
  • Marketing 276
  • Automotive Engineering 233
  • Sociology and Political Science 753
Replace Mark Turner with:
Mark Turner United Kingdom
Felix Wortmann Switzerland
Anuj Sharma India
Murtaza Haider Canada
Mark D. Turner United Kingdom
Alexander Simons Liechtenstein
Changyong Liang China
Elaheh Yadegaridehkordi Malaysia
Yeming Gong France
Anna Visvizi Saudi Arabia
Le Wang relative to Mark Turner United Kingdom Mark Turner's profile →
Citations per field
00.5×2×3×4×5.0×
Mark Turner · 1×
Citations per year

Countries citing papers authored by Le Wang

Since Specialization
Citations

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

Fields of papers citing papers by Le Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
Hit paper breakdown →
2021251
2 2017230
3 2019180
4 2019169
5 2020114
6 201693
7 201791
8 201482
9 201765
10 201959
11 201857
12 201849
13 202249
14 201146
15 202243
16 201943
17 202243
18 202041
19 201940
20 200839

About Le Wang

Le Wang is a scholar working on Economics and Econometrics, Information Systems and Management, Sociology and Political Science, Strategy and Management and Safety Research, having authored 131 papers that have together received 2.8k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (16 papers), Technology Adoption and User Behaviour (11 papers), Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (6 papers), Energy, Environment, Economic Growth (6 papers), Subcritical and Supercritical Water Processes (6 papers), Experimental Behavioral Economics Studies (5 papers) and Customer Service Quality and Loyalty (5 papers). The work is most often cited by research in Information Systems and Management (412 citations), Management Science and Operations Research (389 citations), Marketing (276 citations), Automotive Engineering (233 citations) and Sociology and Political Science (753 citations). Le Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Jiang-Qiang Wang, Hong‐yu Zhang, Jie Yan, Xin Robert Luo, Lin Li, Gang Hua, Juan‐juan Peng, Xiaokang Wang, Liushuai Shi and Zhilin Qiao. Their work appears in journals such as Frontiers in Psychology, Information Technology and People, Sustainability, Neuroscience Bulletin and Information & Management.

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.

Explore authors with similar magnitude of impact