Ran Wang

522 citations
52 papers · 401 · h-index 12

Impact in

Papers in

Ran Wang

49 papers receiving 393 citations

Peers

Ran Wang
Comparison fields: 5 of 59
  • Hardware and Architecture 105
  • Signal Processing 44
  • Electrical and Electronic Engineering 220
  • Computer Vision and Pattern Recognition 75
  • Geology 17
Replace Jinrui Nan with:
Jinrui Nan China
J. Raja India
Naveed Anwar Bhatti Pakistan
Amit Gupta India
Hualiang Zhang China
Han‐You Jeong South Korea
Andrei Drumea Romania
Rajat Kumar India
Zirui Xu United States
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Citations per field
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Citations per year

Countries citing papers authored by Ran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201348
2 201036
3 201630
4 201521
5 201620
6 201517
7 201413
8 201413
9 201412
10 201011
11 201611
12 201411
13 201611
14 201010
15 201310
16 20169
17 20128
18 20157
19 20117
20 20147

About Ran Wang

Ran Wang is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering, having authored 52 papers that have together received 401 indexed citations. Recurring topics across this work include 3D IC and TSV technologies (18 papers), Integrated Circuits and Semiconductor Failure Analysis (15 papers), VLSI and Analog Circuit Testing (14 papers), Multilevel Inverters and Converters (5 papers), Underwater Vehicles and Communication Systems (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Power Systems and Technologies (4 papers) and Nanofabrication and Lithography Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (105 citations), Signal Processing (44 citations), Electrical and Electronic Engineering (220 citations), Computer Vision and Pattern Recognition (75 citations) and Geology (17 citations). Ran Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Krishnendu Chakrabarty, Sudipta Bhawmik, Trillion Q. Zheng, Guoyou Wang, Zhigang Zeng, Yong Wang, Zhong Chen, Liang Ma, Bill Eklow and M. Gerke. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Design Automation of Electronic Systems, Mechanical Systems and Signal Processing, ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Design and Test.

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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