Jun Yan Wu

967 citations
38 papers · 855 · h-index 15

Impact in

Papers in

Jun Yan Wu

37 papers receiving 836 citations

Peers

Jun Yan Wu
Comparison fields: 5 of 52
  • Renewable Energy, Sustainability and the Environment 182
  • Water Science and Technology 108
  • Health, Toxicology and Mutagenesis 85
  • Electrical and Electronic Engineering 325
  • Electrochemistry 15
Replace Mauro Chierici Lopes with:
Mauro Chierici Lopes Brazil
Onoyivwe Monday Ama South Africa
Hongfang Ma China
Débora V. Franco Brazil
Quan Li China
Tshimangadzo Saddam Munonde South Africa
Anna Danuta Dettlaff Poland
Abera Demeke Ambaye South Africa
Adil Shafi Ganie India
Ephraim Muriithi Kiarii South Africa
Jun Yan Wu relative to Mauro Chierici Lopes Brazil Mauro Chierici Lopes's profile →
Citations per field
00.5×2×4×6.1×
Mauro Chierici Lopes · 1×
Citations per year

Countries citing papers authored by Jun Yan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010200
2 201994
3 200191
4 201186
5 201738
6 201530
7 201024
8 202423
9 201322
10 201820
11 202320
12 201619
13 201618
14 202118
15 201316
16 201315
17 201112
18 202112
19 201910
20 20029

About Jun Yan Wu

Jun Yan Wu is a scholar working on Renewable Energy, Sustainability and the Environment, Water Science and Technology, Electrical and Electronic Engineering, Mechanical Engineering and Electrochemistry, having authored 38 papers that have together received 855 indexed citations. Recurring topics across this work include Advancements in Battery Materials (5 papers), Advanced Photocatalysis Techniques (5 papers), Electrocatalysts for Energy Conversion (5 papers), TiO2 Photocatalysis and Solar Cells (5 papers), Electrochemical sensors and biosensors (4 papers), Solar-Powered Water Purification Methods (3 papers), Adsorption and biosorption for pollutant removal (2 papers) and Carbon Dioxide Capture Technologies (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (182 citations), Water Science and Technology (108 citations), Health, Toxicology and Mutagenesis (85 citations), Electrical and Electronic Engineering (325 citations) and Electrochemistry (15 citations). Jun Yan Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kun Wang, Henan Li, Jiajia Yan, Bruce E. Logan, Richard F. Unz, Xuebo Cao, Wei Cao, Lin Qi Wei, Lian‐Wen Zhu and Yanhui Xu. Their work appears in journals such as Journal of Central South University, Dalton Transactions, Nano Research, Transactions of Nonferrous Metals Society of China and The Analyst.

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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