Jun Gao

439 papers receiving 11.6k citations

Jun Gao's Hit Papers

Diagnosis of soil contamination using microbiological indices: A review on heavy metal pollution 2019 · 328 citations
3280+2+4Years since publication100200300

Peers

Jun Gao
Comparison fields: 5 of 149
  • Filtration and Separation 1.6k
  • Catalysis 2.7k
  • Process Chemistry and Technology 652
  • Fluid Flow and Transfer Processes 1.1k
  • Molecular Medicine 656
Replace Wolfgang Arlt with:
Wolfgang Arlt Germany
Inas M. AlNashef Saudi Arabia
Huizhou Liu China
E. L. Cussler United States
João G. Crespo Portugal
Jianji Wang China
Farouq S. Mjalli Oman
Xiangping Zhang China
Mohamed Kheireddine Aroua Malaysia
Ирина Смирнова Germany
Jun Gao relative to Wolfgang Arlt Germany Wolfgang Arlt's profile →
Citations per field
00.5×10×16.4×
Wolfgang Arlt · 1×
Citations per year

Countries citing papers authored by Jun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 457 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diagnosis of soil contamination using microbiological indices: A review on heavy metal pollution
Hit paper breakdown →
2019328
2 2018235
3 2004188
4 2003180
5 2002145
6 2018124
7 2009114
8 2001110
9 2001108
10 2019103
11 2003101
12 2020101
13 200099
14 201799
15 201894
16 202093
17 201791
18 201991
19 199789
20 201887

About Jun Gao

Jun Gao is a scholar working on Mechanical Engineering, Biomedical Engineering, Catalysis, Control and Systems Engineering and Materials Chemistry, having authored 457 papers that have together received 11.7k indexed citations. Recurring topics across this work include Ionic liquids properties and applications (108 papers), Process Optimization and Integration (86 papers), Chemical and Physical Properties in Aqueous Solutions (85 papers), Phase Equilibria and Thermodynamics (73 papers), Thermodynamic properties of mixtures (66 papers), Extraction and Separation Processes (63 papers), Advanced Control Systems Optimization (39 papers) and Crystallization and Solubility Studies (27 papers). The work is most often cited by research in Filtration and Separation (1.6k citations), Catalysis (2.7k citations), Process Chemistry and Technology (652 citations), Fluid Flow and Transfer Processes (1.1k citations) and Molecular Medicine (656 citations). Jun Gao has collaborated with scholars based in China, United States and France. Frequent co-authors include Yinglong Wang, Dongmei Xu, Lianzheng Zhang, Zhaoyou Zhu, Yixin Ma, Peizhe Cui, Barbara J. Frisken, Zhishan Zhang, Zhibing Hu and Fusheng Liu. Their work appears in journals such as Journal of Chemical & Engineering Data, The Journal of Chemical Thermodynamics, Separation and Purification Technology, Journal of Molecular Liquids and Process Safety and Environmental Protection.

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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