Mo Jiang

1.2k total citations
34 papers, 983 citations indexed

About

Mo Jiang is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mo Jiang has authored 34 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 15 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Mo Jiang's work include Crystallization and Solubility Studies (19 papers), Innovative Microfluidic and Catalytic Techniques Innovation (12 papers) and Advancements in Battery Materials (8 papers). Mo Jiang is often cited by papers focused on Crystallization and Solubility Studies (19 papers), Innovative Microfluidic and Catalytic Techniques Innovation (12 papers) and Advancements in Battery Materials (8 papers). Mo Jiang collaborates with scholars based in United States, Japan and South Korea. Mo Jiang's co-authors include Richard D. Braatz, Charles D. Papageorgiou, Marianne Langston, J. Christopher Love, Kristen Severson, Moo Sun Hong, Ram B. Gupta, Sourav Mallick, Hsien‐Hsin Tung and Patrick G. Swann and has published in prestigious journals such as Journal of Materials Chemistry A, Industrial & Engineering Chemistry Research and Chemical Engineering Science.

In The Last Decade

Mo Jiang

31 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mo Jiang United States 17 562 394 161 161 126 34 983
Kazuyuki Shimizu Japan 23 877 1.6× 153 0.4× 104 0.6× 46 0.3× 603 4.8× 108 1.5k
Kevin P. Girard United States 10 295 0.5× 183 0.5× 77 0.5× 41 0.3× 71 0.6× 26 566
Eve Revalor Australia 7 295 0.5× 653 1.7× 199 1.2× 92 0.6× 46 0.4× 8 998
Andrea Browning United States 13 569 1.0× 111 0.3× 46 0.3× 83 0.5× 152 1.2× 26 843
Raimundo Ho United States 14 271 0.5× 174 0.4× 123 0.8× 51 0.3× 106 0.8× 26 886
Yueming Zhang China 18 244 0.4× 341 0.9× 157 1.0× 258 1.6× 55 0.4× 83 914
Yi Gao China 18 231 0.4× 192 0.5× 107 0.7× 83 0.5× 92 0.7× 51 994
David Acevedo United States 18 389 0.7× 181 0.5× 74 0.5× 195 1.2× 49 0.4× 24 714
Zhiwei Liu China 14 281 0.5× 359 0.9× 174 1.1× 135 0.8× 66 0.5× 67 688
Christian Hoff Germany 15 447 0.8× 151 0.4× 35 0.2× 34 0.2× 174 1.4× 33 753

Countries citing papers authored by Mo Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Mo Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mo Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Mo Jiang. A scholar is included among the top collaborators of Mo Jiang 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 Mo Jiang. Mo Jiang 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
1.
Mallick, Sourav, Sunuk Kim, Mo Jiang, et al.. (2025). Slug-flow-based continuous manufacturing of Fe-substituted Ni-rich NCM cathodes for lithium-ion batteries: synthesis and modeling. Energy Advances. 4(10). 1267–1278.
2.
Mallick, Sourav, et al.. (2024). A comparative study on the production of Ni1/3Co1/3Mn1/3C2O4 cathode precursor material for lithium-ion batteries using batch and slug-flow reactors. Journal of Alloys and Compounds. 994. 174720–174720. 4 indexed citations
3.
4.
Mallick, Sourav, et al.. (2024). An overview of various critical aspects of low-cobalt/cobalt-free Li-ion battery cathodes. Sustainable Energy & Fuels. 9(3). 724–738. 7 indexed citations
5.
Kim, Sunuk, et al.. (2024). Computational Fluid Dynamics Simulation for Controllable Residence Time Distribution in a Slug Flow Crystallizer. Crystal Growth & Design. 24(9). 3876–3887.
6.
Mallick, Sourav, K. Jayanthi, Xiao‐Guang Sun, et al.. (2023). Slug Flow Coprecipitation Synthesis of Uniformly-Sized Oxalate Precursor Microparticles for Improved Reproducibility and Tap Density of Li(Ni0.8Co0.1Mn0.1)O2 Cathode Materials. ACS Applied Energy Materials. 6(6). 3213–3224. 15 indexed citations
7.
Mallick, Sourav, Xiao‐Guang Sun, M. Paranthaman, et al.. (2023). Low-cobalt active cathode materials for high-performance lithium-ion batteries: synthesis and performance enhancement methods. Journal of Materials Chemistry A. 11(8). 3789–3821. 55 indexed citations
8.
9.
Mallick, Sourav, et al.. (2023). Synthesis of Lithium-Nickel-Cobalt-Manganese-Aluminum Oxide-Based Ni-Rich Lib Cathode through Slug-Flow Manufacturing Platform. ECS Meeting Abstracts. MA2023-01(2). 580–580. 1 indexed citations
10.
Lee, Yong-Kyu, et al.. (2021). Mathematical modeling and experimental validation of continuous slug-flow tubular crystallization with ultrasonication-induced nucleation and spatially varying temperature. Process Safety and Environmental Protection. 169. 275–287. 18 indexed citations
11.
Hong, Moo Sun, et al.. (2021). Tunable protein crystal size distribution via continuous slug-flow crystallization with spatially varying temperature. CrystEngComm. 23(37). 6495–6505. 8 indexed citations
12.
Jiang, Mo, et al.. (2020). Fast Continuous Non-Seeded Cooling Crystallization of Glycine in Slug Flow: Pure α-Form Crystals with Narrow Size Distribution. Journal of Pharmaceutical Innovation. 15(2). 281–294. 22 indexed citations
13.
Cheng, Jingcai, Chao Yang, Mo Jiang, Qian Li, & Zai‐Sha Mao. (2017). Simulation of antisolvent crystallization in impinging jets with coupled multiphase flow-micromixing-PBE. Chemical Engineering Science. 171. 500–512. 31 indexed citations
14.
Jiang, Mo, et al.. (2016). Mathematical modeling and optimal design of multi-stage slug-flow crystallization. Computers & Chemical Engineering. 95. 240–248. 38 indexed citations
15.
Jiang, Mo, et al.. (2015). Effect of jet velocity on crystal size distribution from antisolvent and cooling crystallizations in a dual impinging jet mixer. Chemical Engineering and Processing - Process Intensification. 97. 242–247. 39 indexed citations
16.
Wang, Steven, Mo Jiang, Shaliza Ibrahim, et al.. (2015). Optimized Stirred Reactor for Enhanced Particle Dispersion. Chemical Engineering & Technology. 39(4). 680–688. 11 indexed citations
17.
Jiang, Mo, Chen Gu, & Richard D. Braatz. (2015). Understanding temperature-induced primary nucleation in dual impinging jet mixers. Chemical Engineering and Processing - Process Intensification. 97. 187–194. 11 indexed citations
18.
Jiang, Mo, et al.. (2015). Indirect Ultrasonication in Continuous Slug-Flow Crystallization. Crystal Growth & Design. 15(5). 2486–2492. 94 indexed citations
19.
Jiang, Mo, Xiao Xiang Zhu, Haitao Zhang, et al.. (2014). Modification of Crystal Shape through Deep Temperature Cycling. Industrial & Engineering Chemistry Research. 53(13). 5325–5336. 60 indexed citations
20.
Jiang, Mo, Min Hao Wong, Lifang Zhou, et al.. (2012). Towards achieving a flattop crystal size distribution by continuous seeding and controlled growth. Chemical Engineering Science. 77. 2–9. 41 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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