Wanqing Ding

871 citations
25 papers · 710 · h-index 15

Impact in

Papers in

Wanqing Ding

23 papers receiving 696 citations

Peers

Wanqing Ding
Comparison fields: 5 of 82
  • Pollution 194
  • Industrial and Manufacturing Engineering 142
  • Renewable Energy, Sustainability and the Environment 208
  • Water Science and Technology 174
  • Health, Toxicology and Mutagenesis 149
Replace María Castro-Alférez with:
María Castro-Alférez Spain
Olivier Autin United Kingdom
Younggun Yoon South Korea
Omatoyo K. Dalrymple United States
Yiwei Chen China
K. Thanasekaran India
Byung Soo Oh South Korea
Janeth Sanabria Colombia
Sangki Choi South Korea
Linda Mežule Latvia
Wanqing Ding relative to María Castro-Alférez Spain María Castro-Alférez's profile →
Citations per field
00.5×2.6×
María Castro-Alférez · 1×
Citations per year

Countries citing papers authored by Wanqing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Wanqing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019207
2 201995
3 201973
4 202140
5 202035
6 201930
7 202227
8 202126
9 202220
10 202020
11 202320
12 201518
13 202418
14 202316
15 202115
16 202213
17 202310
18 20218
19 20206
20 20224

About Wanqing Ding

Wanqing Ding is a scholar working on Water Science and Technology, Renewable Energy, Sustainability and the Environment, Industrial and Manufacturing Engineering, Biomedical Engineering and Pollution, having authored 25 papers that have together received 710 indexed citations. Recurring topics across this work include Algal biology and biofuel production (10 papers), Advanced oxidation water treatment (6 papers), Membrane Separation Technologies (4 papers), Aquatic Ecosystems and Phytoplankton Dynamics (4 papers), Coagulation and Flocculation Studies (3 papers), Constructed Wetlands for Wastewater Treatment (3 papers), Water Treatment and Disinfection (3 papers) and Wastewater Treatment and Nitrogen Removal (3 papers). The work is most often cited by research in Pollution (194 citations), Industrial and Manufacturing Engineering (142 citations), Renewable Energy, Sustainability and the Environment (208 citations), Water Science and Technology (174 citations) and Health, Toxicology and Mutagenesis (149 citations). Wanqing Ding has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xu Zhou, Wenbiao Jin, Renjie Tu, Song-Fang Han, Hui Huang, Song Cao, Changping Wang, Qilin Wang, Yidi Chen and Huan Liu. Their work appears in journals such as Journal of Water Process Engineering, The Science of The Total Environment, Water, Journal of Cleaner Production and Bioresource Technology Reports.

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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