Jinling Wu

37 papers receiving 1.4k citations

Peers

Jinling Wu
Comparison fields: 5 of 75
  • Water Science and Technology 942
  • Industrial and Manufacturing Engineering 358
  • Pollution 300
  • Inorganic Chemistry 229
  • Biomedical Engineering 670
Replace Noorul Hudai Abdullah with:
Noorul Hudai Abdullah Malaysia
Shiqiang Zou United States
G. Garralón Spain
Weiwei Cai China
Ismail W. Almanassra United Arab Emirates
Wuhui Luo China
Yu Yang China
Debabrata Pradhan India
Hongwei Rong China
Jinling Wu relative to Noorul Hudai Abdullah Malaysia Noorul Hudai Abdullah's profile →
Citations per field
00.5×4.8×
Noorul Hudai Abdullah · 1×
Citations per year

Countries citing papers authored by Jinling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006164
2 2008155
3 2017118
4 201899
5 200997
6 201869
7 201668
8 201967
9 200865
10 200857
11 200851
12 200950
13 201949
14 201048
15 201933
16 201827
17 201926
18 202221
19 202119
20 201318

About Jinling Wu

Jinling Wu is a scholar working on Water Science and Technology, Biomedical Engineering, Industrial and Manufacturing Engineering, Pollution and Mechanical Engineering, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Membrane Separation Technologies (23 papers), Membrane-based Ion Separation Techniques (20 papers), Chemical Synthesis and Characterization (9 papers), Wastewater Treatment and Nitrogen Removal (6 papers), Extraction and Separation Processes (5 papers), Radioactive element chemistry and processing (4 papers), Nanopore and Nanochannel Transport Studies (3 papers) and Solar-Powered Water Purification Methods (3 papers). The work is most often cited by research in Water Science and Technology (942 citations), Industrial and Manufacturing Engineering (358 citations), Pollution (300 citations), Inorganic Chemistry (229 citations) and Biomedical Engineering (670 citations). Jinling Wu has collaborated with scholars based in China and Australia. Frequent co-authors include Xia Huang, Jianlong Wang, Xiaojing Liu, Kun Tian, Richard M. Stuetz, Anthony G. Fane, Vicki Chen, Pierre Le‐Clech, Yanan Yin and Futai Chen. Their work appears in journals such as The Science of The Total Environment, Journal of Membrane Science, Progress in Nuclear Energy, Separation and Purification Technology and Water Research.

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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