Ji Dai

1.4k citations
45 papers · 1.1k · h-index 22

Impact in

Papers in

Ji Dai

45 papers receiving 1.1k citations

Peers

Ji Dai
Comparison fields: 5 of 97
  • Industrial and Manufacturing Engineering 317
  • Pollution 410
  • Water Science and Technology 334
  • Process Chemistry and Technology 55
  • Environmental Engineering 187
Replace Adile Evren Tuğtaş with:
Adile Evren Tuğtaş Türkiye
Abid Ali Khan India
Changsix Ra South Korea
Irena Wojnowska‐Baryła Poland
E. Klimiuk Poland
Roberto Raga Italy
Naveed Ahmed Qambrani South Korea
Wafa Dastyar China
Sampriti Kataki India
James C. Young United States
Ji Dai relative to Adile Evren Tuğtaş Türkiye Adile Evren Tuğtaş's profile →
Citations per field
00.5×1.5×2.2×
Adile Evren Tuğtaş · 1×
Citations per year

Countries citing papers authored by Ji Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ji Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201990
2 201975
3 201752
4 201751
5 201949
6 201448
7 201947
8 201845
9 202143
10 201139
11 201639
12 202037
13 201936
14 201835
15 201933
16 201230
17 202030
18 201828
19 201827
20 201223

About Ji Dai

Ji Dai is a scholar working on Pollution, Industrial and Manufacturing Engineering, Water Science and Technology, Environmental Engineering and Health, Toxicology and Mutagenesis, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (16 papers), Membrane Separation Technologies (10 papers), Wastewater Treatment and Reuse (8 papers), Phosphorus and nutrient management (7 papers), Water-Energy-Food Nexus Studies (5 papers), Water Treatment and Disinfection (4 papers), Odor and Emission Control Technologies (4 papers) and Food Waste Reduction and Sustainability (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (317 citations), Pollution (410 citations), Water Science and Technology (334 citations), Process Chemistry and Technology (55 citations) and Environmental Engineering (187 citations). Ji Dai has collaborated with scholars based in Hong Kong, China and South Africa. Frequent co-authors include Guanghao Chen, Feng Jiang, Di Wu, Basanta Kumar Biswal, Feixiang Zan, George A. Ekama, Xiaoming Liu, Hao Huang, Hamish R. Mackey and Gang Guo. Their work appears in journals such as Water Research, Water Science & Technology, Bioresource Technology, Separation and Purification Technology and Journal of Cleaner Production.

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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