Mohan Qin

2.4k total citations
39 papers, 1.9k citations indexed

About

Mohan Qin is a scholar working on Biomedical Engineering, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Mohan Qin has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biomedical Engineering, 20 papers in Water Science and Technology and 16 papers in Environmental Engineering. Recurrent topics in Mohan Qin's work include Membrane-based Ion Separation Techniques (22 papers), Membrane Separation Technologies (20 papers) and Microbial Fuel Cells and Bioremediation (16 papers). Mohan Qin is often cited by papers focused on Membrane-based Ion Separation Techniques (22 papers), Membrane Separation Technologies (20 papers) and Microbial Fuel Cells and Bioremediation (16 papers). Mohan Qin collaborates with scholars based in United States, China and Qatar. Mohan Qin's co-authors include Zhen He, Menachem Elimelech, Razi Epsztein, Sohum K. Patel, W. Shane Walker, Akshay Deshmukh, Shiqiang Zou, Evyatar Shaulsky, Ibrahim M. Abu-Reesh and Cody L. Ritt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Energy & Environmental Science.

In The Last Decade

Mohan Qin

33 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohan Qin United States 22 1.3k 1.1k 758 511 302 39 1.9k
Dianxun Hou United States 20 695 0.5× 715 0.6× 498 0.7× 415 0.8× 420 1.4× 25 1.6k
Teng Cai China 21 379 0.3× 615 0.5× 450 0.6× 580 1.1× 367 1.2× 45 1.4k
Joo-Youn Nam South Korea 20 512 0.4× 452 0.4× 546 0.7× 395 0.8× 203 0.7× 48 1.3k
Xiaoxin Cao China 22 895 0.7× 841 0.7× 1.2k 1.6× 1.9k 3.6× 298 1.0× 40 2.5k
Heyang Yuan United States 22 453 0.4× 470 0.4× 870 1.1× 1.1k 2.2× 515 1.7× 41 1.9k
Jouke E. Dykstra Netherlands 24 1.9k 1.5× 1.7k 1.5× 1.2k 1.6× 64 0.1× 122 0.4× 47 2.3k
Heng Dong China 21 341 0.3× 336 0.3× 886 1.2× 715 1.4× 876 2.9× 33 1.9k
Rizwan Ahmad South Korea 19 415 0.3× 617 0.5× 176 0.2× 133 0.3× 409 1.4× 25 1.3k
Adriaan W. Jeremiasse Netherlands 17 696 0.5× 319 0.3× 1.6k 2.1× 2.2k 4.3× 971 3.2× 23 3.1k
Christopher J. Gabelich United States 15 986 0.8× 1.1k 1.0× 444 0.6× 55 0.1× 170 0.6× 19 1.4k

Countries citing papers authored by Mohan Qin

Since Specialization
Citations

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

Fields of papers citing papers by Mohan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohan Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Mohan Qin. A scholar is included among the top collaborators of Mohan Qin 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 Mohan Qin. Mohan Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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2.
Gan, Y.S., Lang Qin, Sung‐Nan Pei, et al.. (2025). 3D Neighbor2Neighbor-based unsupervised deep learning for noise reduction in OCT imaging: insights from multiple clinical datasets. Optics Express. 33(21). 43476–43476.
3.
Janssen, Sarah E., et al.. (2025). Regenerable Membrane Sensors for Ultrasensitive Nanoplastic Quantification Enabled by A Data-driven Raman Spectral Processing Algorithm. Environmental Science & Technology. 59(31). 16652–16661.
4.
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Larson, Rebecca A., et al.. (2024). Bioelectrochemically-assisted ammonia recovery from dairy manure. Water Research. 252. 121243–121243. 8 indexed citations
7.
Yang, Kai & Mohan Qin. (2024). Enhancing selective ammonium transport in membrane electrochemical systems. Water Research. 257. 121668–121668. 6 indexed citations
8.
Qin, Mohan, et al.. (2023). Ammonia recovery from organic nitrogen in synthetic dairy manure with a microbial fuel cell. Chemosphere. 325. 138388–138388. 18 indexed citations
9.
Wang, Rui, Kai Yang, Horacio A. Aguirre‐Villegas, et al.. (2023). Electrochemical ammonia recovery and co-production of chemicals from manure wastewater. Nature Sustainability. 7(2). 179–190. 57 indexed citations
10.
Wu, Ziyan, et al.. (2022). Laboratory Filter Membranes May Release Organic Particles That Affect Water Analysis. ACS ES&T Engineering. 2(12). 2311–2316. 3 indexed citations
11.
Sun, Meng, Mohan Qin, Chi Wang, et al.. (2020). Electrochemical-Osmotic Process for Simultaneous Recovery of Electric Energy, Water, and Metals from Wastewater. Environmental Science & Technology. 54(13). 8430–8442. 38 indexed citations
12.
Patel, Sohum K., Mohan Qin, W. Shane Walker, & Menachem Elimelech. (2020). Energy Efficiency of Electro-Driven Brackish Water Desalination: Electrodialysis Significantly Outperforms Membrane Capacitive Deionization. Environmental Science & Technology. 54(6). 3663–3677. 185 indexed citations
13.
Zou, Shiqiang, Mohan Qin, & Zhen He. (2018). Tackle reverse solute flux in forward osmosis towards sustainable water recovery: reduction and perspectives. Water Research. 149. 362–374. 103 indexed citations
14.
Zou, Shiqiang, Mohan Qin, Yann Moreau, & Zhen He. (2017). Nutrient-energy-water recovery from synthetic sidestream centrate using a microbial electrolysis cell - forward osmosis hybrid system. Journal of Cleaner Production. 154. 16–25. 78 indexed citations
15.
Qin, Mohan, et al.. (2017). Ammonium removal from synthetic wastewater promoted by current generation and water flux in an osmotic microbial fuel cell. Journal of Cleaner Production. 149. 856–862. 64 indexed citations
16.
Qin, Mohan & Zhen He. (2017). Resource recovery by osmotic bioelectrochemical systems towards sustainable wastewater treatment. Environmental Science Water Research & Technology. 3(4). 583–592. 23 indexed citations
17.
Qin, Mohan, Ibrahim M. Abu-Reesh, & Zhen He. (2016). Effects of current generation and electrolyte pH on reverse salt flux across thin film composite membrane in osmotic microbial fuel cells. Water Research. 105. 583–590. 38 indexed citations
18.
Liu, Ying, Mohan Qin, Shuai Luo, Zhen He, & Rui Qiao. (2016). Understanding Ammonium Transport in Bioelectrochemical Systems towards its Recovery. Scientific Reports. 6(1). 22547–22547. 57 indexed citations
19.
Qin, Mohan, Qingyun Ping, Yaobin Lu, Ibrahim M. Abu-Reesh, & Zhen He. (2015). Understanding electricity generation in osmotic microbial fuel cells through integrated experimental investigation and mathematical modeling. Bioresource Technology. 195. 194–201. 48 indexed citations
20.
Qin, Mohan, et al.. (2015). Recovery of nitrogen and water from landfill leachate by a microbial electrolysis cell–forward osmosis system. Bioresource Technology. 200. 485–492. 94 indexed citations

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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