Hao Wei

21 papers receiving 776 citations

Peers

Hao Wei
Comparison fields: 5 of 60
  • Bioengineering 138
  • Signal Processing 176
  • Computer Vision and Pattern Recognition 221
  • Polymers and Plastics 131
  • Computer Networks and Communications 197
Replace Yu-Yuan Chen with:
Yu-Yuan Chen China
Wei Ge China
Kazunori Sugahara Japan
Gianluca Piccinini Italy
Wenyuan Yang China
M. Yamashina Japan
Seong-je Cho South Korea
Suki Kim South Korea
Zhilei Chai China
Jong-Seung Park South Korea
Hao Wei relative to Yu-Yuan Chen China Yu-Yuan Chen's profile →
Citations per field
00.5×2×4×6×8.6×
Yu-Yuan Chen · 1×
Citations per year

Countries citing papers authored by Hao Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hao Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012320
2 2016104
3 201462
4 201662
5 201750
6 201736
7 202331
8 201731
9 201620
10 201817
11 201712
12 202511
13 20228
14 20138
15 20137
16 20206
17 20153
18 20232
19
Location Based Services Recommendation with Budget Constraints.
20162
20 20171

About Hao Wei

Hao Wei is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 23 papers that have together received 794 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Complex Network Analysis Techniques (4 papers), Advanced Database Systems and Queries (3 papers), Advanced Graph Neural Networks (3 papers), Complexity and Algorithms in Graphs (3 papers), Asymmetric Hydrogenation and Catalysis (2 papers), Carbon dioxide utilization in catalysis (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Bioengineering (138 citations), Signal Processing (176 citations), Computer Vision and Pattern Recognition (221 citations), Polymers and Plastics (131 citations) and Computer Networks and Communications (197 citations). Hao Wei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jeffrey Xu Yu, Can Lu, Xiaolu Huang, Zhi Yang, Yafei Zhang, Yanyan Wang, Yu Yuan, Rungang Gao, Nantao Hu and Eric Siu-Wai Kong. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, Proceedings of the VLDB Endowment, IEEE Solid-State Circuits Letters and Angewandte Chemie International Edition.

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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