Junhui Wu

63 papers receiving 786 citations

Peers

Junhui Wu
Comparison fields: 5 of 105
  • Pharmaceutical Science 155
  • Water Science and Technology 187
  • Organic Chemistry 180
  • Inorganic Chemistry 74
  • Process Chemistry and Technology 13
Replace Shaohan Wang with:
Shaohan Wang China
Lixia Li China
Shugen Wang China
Clive E Davies New Zealand
Jiawen Song China
M.S.A. Bradley United Kingdom
Andrea C. Santomaso Italy
Venkataramana Runkana India
Ryan Gosselin Canada
Junhui Wu relative to Shaohan Wang China Shaohan Wang's profile →
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Shaohan Wang · 1×
Citations per year

Countries citing papers authored by Junhui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junhui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015152
2 2015106
3 201576
4 201845
5 201536
6 201534
7 202125
8 201920
9 201018
10 202016
11 201316
12 202315
13 202114
14 201613
15 202113
16 202012
17 202311
18 201711
19
A Fast Fuzzy C-Means Clustering for Color Image Segmentation
200411
20 201411

About Junhui Wu

Junhui Wu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering and Materials Chemistry, having authored 75 papers that have together received 806 indexed citations. Recurring topics across this work include Conducting polymers and applications (6 papers), Smart Agriculture and AI (6 papers), Advanced Fiber Optic Sensors (6 papers), Remote Sensing and Land Use (5 papers), Marine and coastal ecosystems (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), High voltage insulation and dielectric phenomena (3 papers) and Adaptive Control of Nonlinear Systems (3 papers). The work is most often cited by research in Pharmaceutical Science (155 citations), Water Science and Technology (187 citations), Organic Chemistry (180 citations), Inorganic Chemistry (74 citations) and Process Chemistry and Technology (13 citations). Junhui Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jixiao Wang, Shichang Wang, Zhi Wang, Wentao Yan, Zhiwei Xiao, Ji‐Chang Xiao, Hao Wu, Yong Guo, Chao Liu and Qing‐Yun Chen. Their work appears in journals such as Journal of Lightwave Technology, Journal of Membrane Science, Energy & Fuels, Multimedia Tools and Applications and IEEE Transactions on Circuits & Systems II Express Briefs.

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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