Han Gu

18 papers receiving 385 citations

Peers

Han Gu
Comparison fields: 5 of 53
  • Water Science and Technology 309
  • Industrial and Manufacturing Engineering 55
  • Renewable Energy, Sustainability and the Environment 82
  • Biomedical Engineering 185
  • Health, Toxicology and Mutagenesis 33
Replace William R. Pearce with:
William R. Pearce United States
Natasha C. Wright United States
Yongxun Jin South Korea
H. Futselaar Netherlands
Pan Dai China
Shardul S. Wadekar United States
Xing Yin China
Sabereh Nazari China
Marion Alliet France
Sanaa Kouzbour Morocco
Han Gu relative to William R. Pearce United States William R. Pearce's profile →
Citations per field
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William R. Pearce · 1×
Citations per year

Countries citing papers authored by Han Gu

Since Specialization
Citations

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

Fields of papers citing papers by Han Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201253
2 202145
3 202142
4 201633
5 201331
6 201327
7 201725
8 202223
9 201622
10 201322
11 202122
12 201620
13 20257
14 20146
15 20235
16 20204
17 20103
18 20253
19 20181
20 20250

About Han Gu

Han Gu is a scholar working on Water Science and Technology, Biomedical Engineering, Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 394 indexed citations. Recurring topics across this work include Membrane Separation Technologies (13 papers), Membrane-based Ion Separation Techniques (9 papers), Water Treatment and Disinfection (3 papers), Wastewater Treatment and Reuse (3 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Fault Detection and Control Systems (2 papers), Solar-Powered Water Purification Methods (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Water Science and Technology (309 citations), Industrial and Manufacturing Engineering (55 citations), Renewable Energy, Sustainability and the Environment (82 citations), Biomedical Engineering (185 citations) and Health, Toxicology and Mutagenesis (33 citations). Han Gu has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Panagiotis D. Christofides, Yoram Cohen, Anditya Rahardianto, Alex R. Bartman, Megan H. Plumlee, James C. Lozier, Jaume Giralt, Robert Ralló, Dongsheng Zhu and David M. Warsinger. Their work appears in journals such as Desalination, Industrial & Engineering Chemistry Research, Research in Transportation Business & Management, Water Research X 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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