Mingzhong Wang

1.5k citations
69 papers · 1.1k · h-index 16

Impact in

Papers in

Mingzhong Wang

63 papers receiving 1.1k citations

Peers

Mingzhong Wang
Comparison fields: 5 of 112
  • Artificial Intelligence 647
  • Computer Networks and Communications 339
  • Information Systems 304
  • Signal Processing 119
  • Transportation 54
Replace Jiamou Liu with:
Jiamou Liu New Zealand
Lukáš Chrpa Czechia
Linqi Song Hong Kong
László Kovács Hungary
Linke Guo United States
Chungang Yan China
Stefano V. Albrecht United Kingdom
Mingzhong Wang relative to Jiamou Liu New Zealand Jiamou Liu's profile →
Citations per field
00.5×1.5×2.0×
Jiamou Liu · 1×
Citations per year

Countries citing papers authored by Mingzhong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013166
2 2017156
3 2019120
4 201475
5 200953
6 201640
7 201939
8 202136
9 202134
10 202333
11 201929
12 200426
13 201924
14 201815
15 202315
16 201415
17 202314
18 202312
19 202311
20 201311

About Mingzhong Wang

Mingzhong Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (6 papers), Cloud Computing and Resource Management (5 papers), Scientific Computing and Data Management (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Advanced Graph Neural Networks (5 papers), Network Security and Intrusion Detection (5 papers), Distributed and Parallel Computing Systems (5 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Artificial Intelligence (647 citations), Computer Networks and Communications (339 citations), Information Systems (304 citations), Signal Processing (119 citations) and Transportation (54 citations). Mingzhong Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Liehuang Zhu, Meng Shen, Mingwei Wei, Yu‐an Tan, Xin Li, Chang Liu, Rui Ye, Xin Li, Kotagiri Ramamohanarao and Jinjun Chen. Their work appears in journals such as IEEE Access, ACM Transactions on Information Systems, Computing, Information Sciences and Frontiers in Earth Science.

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