Ming Wang

2.5k citations
148 papers · 1.9k · h-index 23

Impact in

Papers in

Ming Wang

131 papers receiving 1.8k citations

Peers

Ming Wang
Comparison fields: 5 of 136
  • Computer Networks and Communications 737
  • Computer Vision and Pattern Recognition 390
  • Signal Processing 201
  • Electrical and Electronic Engineering 805
  • Artificial Intelligence 218
Replace Jian Yuan with:
Jian Yuan China
Salman A. AlQahtani Saudi Arabia
Weifeng Lv China
Ahmed Farouk Egypt
David L. Mills United States
Wei Jiang China
Yueming Lu China
Liangtian Wan China
P.S. Excell United Kingdom
Aditya Mahajan Canada
Ming Wang relative to Jian Yuan China Jian Yuan's profile →
Citations per field
00.5×1.7×
Jian Yuan · 1×
Citations per year

Countries citing papers authored by Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017228
2 2015104
3 200596
4 201588
5 201654
6 201652
7 201651
8 201245
9 201744
10 201644
11 201344
12 201743
13 201741
14 200340
15 201739
16 202032
17 201628
18 201727
19 202227
20 201825

About Ming Wang

Ming Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 148 papers that have together received 1.9k indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (18 papers), Photonic and Optical Devices (16 papers), Image and Video Quality Assessment (14 papers), Advanced Wireless Network Optimization (14 papers), Advanced Fiber Laser Technologies (11 papers), Video Coding and Compression Technologies (10 papers), Network Traffic and Congestion Control (8 papers) and Neural Networks Stability and Synchronization (7 papers). The work is most often cited by research in Computer Networks and Communications (737 citations), Computer Vision and Pattern Recognition (390 citations), Signal Processing (201 citations), Electrical and Electronic Engineering (805 citations) and Artificial Intelligence (218 citations). Ming Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bo Cheng, Jiyan Wu, Junliang Chen, Chau Yuen, Dongmei Guo, Zhongyi Zhai, Shuai Zhao, Da Zhu, Rui Tan and Ezequiel A. Di Paolo. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, IEEE Transactions on Communications, Optical Engineering and IEEE Journal on Selected Areas in Communications.

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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