Ju Wang

762 citations
22 papers · 505 · h-index 9

Impact in

Papers in

Ju Wang

21 papers receiving 491 citations

Peers

Ju Wang
Comparison fields: 5 of 87
  • Automotive Engineering 149
  • Cardiology and Cardiovascular Medicine 115
  • Biomedical Engineering 187
  • Electrical and Electronic Engineering 201
  • Computer Vision and Pattern Recognition 68
Replace Gulbadan Sikander with:
Gulbadan Sikander Pakistan
Eloy Irigoyen Spain
Sang‐Joong Jung South Korea
Chika Sugimoto Japan
Jung Soo Kim South Korea
Juha Kortelainen Finland
Kee-Ho Yu South Korea
Koji Oguri Japan
Grazia Iadarola Italy
Brij N. Singh United States
Ju Wang relative to Gulbadan Sikander Pakistan Gulbadan Sikander's profile →
Citations per field
00.5×5.3×
Gulbadan Sikander · 1×
Citations per year

Countries citing papers authored by Ju Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ju Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202186
2 202185
3 201361
4 202258
5 202051
6 202037
7 202137
8 201829
9 20039
10 20208
11 20217
12 20077
13 20136
14 20165
15 20184
16 20034
17 20164
18 20143
19 20071
20
An Analysis of Using Overlay Networks to Resist Distributed Denial-of-Service Attacks
20031

About Ju Wang

Ju Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 505 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), Advanced Wireless Network Optimization (3 papers), Context-Aware Activity Recognition Systems (3 papers), Advanced Battery Technologies Research (3 papers), Mobile Ad Hoc Networks (3 papers), Indoor and Outdoor Localization Technologies (3 papers) and Radar Systems and Signal Processing (2 papers). The work is most often cited by research in Automotive Engineering (149 citations), Cardiology and Cardiovascular Medicine (115 citations), Biomedical Engineering (187 citations), Electrical and Electronic Engineering (201 citations) and Computer Vision and Pattern Recognition (68 citations). Ju Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Thomas M. Deserno, Joana M. Warnecke, Mostafa Haghi, Rui Xiong, Shilin Chen, Jinpeng Tian, Weixiang Shen, Nicolai Spicher, Hao Mu and Saeed Danyali. Their work appears in journals such as Sensors, IEEE Journal on Selected Areas in Communications, Chinese Journal of Mechanical Engineering, JMIR mhealth and uhealth and Applied Energy.

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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