Fei Jiang

522 citations
23 papers · 364 · h-index 12

Impact in

Papers in

Fei Jiang

20 papers receiving 361 citations

Peers

Fei Jiang
Comparison fields: 5 of 72
  • Industrial and Manufacturing Engineering 100
  • Water Science and Technology 130
  • Environmental Chemistry 47
  • Endocrine and Autonomic Systems 28
  • Pollution 50
Replace Majid Fekri with:
Majid Fekri Iran
Elizabeth Teresita Romero-Guzmán Mexico
Maurício Luiz Sens Brazil
Katya Cherukumilli United States
Toyin Dunsin Saliu Nigeria
Binbin Wang China
Lina Pang China
Laleh R. Kalankesh Iran
Munib Ahmed Shafique Pakistan
Fei Jiang relative to Majid Fekri Iran Majid Fekri's profile →
Citations per field
00.5×9.3×
Majid Fekri · 1×
Citations per year

Countries citing papers authored by Fei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Fei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019105
2 202238
3 200736
4 202430
5 201819
6 202418
7 202317
8 202316
9 202416
10 202515
11 202311
12 202411
13 20229
14 20249
15 20227
16 20243
17 20221
18 20241
19 20241
20 20221

About Fei Jiang

Fei Jiang is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering, Biomedical Engineering, Organic Chemistry and Pathology and Forensic Medicine, having authored 23 papers that have together received 364 indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (7 papers), Nanomaterials for catalytic reactions (3 papers), Vitamin D Research Studies (3 papers), Recycling and Waste Management Techniques (2 papers), Chemical Synthesis and Characterization (2 papers), Membrane Separation Technologies (2 papers), Fluoride Effects and Removal (2 papers) and Per- and polyfluoroalkyl substances research (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (100 citations), Water Science and Technology (130 citations), Environmental Chemistry (47 citations), Endocrine and Autonomic Systems (28 citations) and Pollution (50 citations). Fei Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Yanhua Xie, Bo Wang, Ting Luo, Tong Wu, Yong Tang, Qili Hu, Xiaoyun Li, Feiyue Li, Hongqiang Wang and Jingqi Huang. Their work appears in journals such as Langmuir, The Science of The Total Environment, Water Air & Soil Pollution, npj Vaccines and Environmental Geochemistry and Health.

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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