Wei-Min Ni

13 total papers · 564 total citations
13 papers, 499 citations indexed

About

Wei-Min Ni is a scholar working on Water Science and Technology, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Wei-Min Ni has authored 13 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 8 papers in Pollution and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Wei-Min Ni's work include Membrane Separation Technologies (9 papers), Wastewater Treatment and Nitrogen Removal (8 papers) and Industrial Gas Emission Control (3 papers). Wei-Min Ni is often cited by papers focused on Membrane Separation Technologies (9 papers), Wastewater Treatment and Nitrogen Removal (8 papers) and Industrial Gas Emission Control (3 papers). Wei-Min Ni collaborates with scholars based in China. Wei-Min Ni's co-authors include Ren‐Cun Jin, Qiong Guo, Baohong Guan, Zhongbiao Wu, Peng Li, Guangfeng Yang, Baoshan Xing, Hui Chen, Yuxin Ji and Huang Mei and has published in prestigious journals such as Journal of Hazardous Materials, Bioresource Technology and Chemical Engineering Journal.

In The Last Decade

Wei-Min Ni

13 papers receiving 492 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wei-Min Ni 382 191 159 145 98 13 499
Andriy Malovanyy 372 1.0× 182 1.0× 173 1.1× 104 0.7× 183 1.9× 15 551
Zheng Gong 302 0.8× 179 0.9× 88 0.6× 158 1.1× 98 1.0× 8 515
Anne Menert 326 0.9× 148 0.8× 117 0.7× 126 0.9× 123 1.3× 19 527
Tipei Jia 384 1.0× 75 0.4× 149 0.9× 135 0.9× 120 1.2× 21 571
Dawoon Jeong 229 0.6× 181 0.9× 94 0.6× 109 0.8× 107 1.1× 23 507
Inge De Bo 242 0.6× 107 0.6× 95 0.6× 79 0.5× 131 1.3× 13 595
Kazuaki Hibiya 390 1.0× 201 1.1× 126 0.8× 178 1.2× 107 1.1× 8 485
I. Zekker 442 1.2× 148 0.8× 151 0.9× 151 1.0× 163 1.7× 22 585
Maxime Rattier 321 0.8× 140 0.7× 221 1.4× 96 0.7× 109 1.1× 13 469
Taira Hanaoka 322 0.8× 254 1.3× 64 0.4× 101 0.7× 107 1.1× 10 460

Countries citing papers authored by Wei-Min Ni

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Min Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Min Ni. 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 Wei-Min Ni. The network helps show where Wei-Min Ni may publish in the future.

Co-authorship network of co-authors of Wei-Min Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Min Ni. A scholar is included among the top collaborators of Wei-Min Ni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei-Min Ni. Wei-Min Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026