Bin Dong

4.1k citations
86 papers · 3.6k · h-index 31

Impact in

Papers in

Bin Dong

82 papers receiving 3.6k citations

Peers

Bin Dong
Comparison fields: 5 of 92
  • Catalysis 1.7k
  • Filtration and Separation 476
  • Organic Chemistry 1.8k
  • Electrochemistry 337
  • Process Chemistry and Technology 137
Replace Jason A. Widegren with:
Jason A. Widegren United States
Mark J. Muldoon United Kingdom
Guo‐Hong Tao China
Stefan Spange Germany
Daniel Lemordant France
Małgorzata Swadźba‐Kwaśny United Kingdom
Vladimir N. Emel′yanenko Germany
Karina Shimizu Portugal
Kun Dong China
Gregorio García Spain
Bin Dong relative to Jason A. Widegren United States Jason A. Widegren's profile →
Citations per field
00.5×1.5×
Jason A. Widegren · 1×
Citations per year

Countries citing papers authored by Bin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Bin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007498
2 2008325
3 2007304
4 2016183
5 2006144
6 2015139
7 2011129
8 2007105
9 2016105
10 200698
11 200990
12 200882
13 201578
14 201675
15 201768
16 201358
17 200856
18 201054
19 201652
20 201552

About Bin Dong

Bin Dong is a scholar working on Catalysis, Materials Chemistry, Organic Chemistry, Artificial Intelligence and Polymers and Plastics, having authored 86 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ionic liquids properties and applications (31 papers), Surfactants and Colloidal Systems (19 papers), Conducting polymers and applications (13 papers), Covalent Organic Framework Applications (13 papers), Metal-Organic Frameworks: Synthesis and Applications (12 papers), Speech Recognition and Synthesis (11 papers), Electrochemical Analysis and Applications (9 papers) and Speech and Audio Processing (8 papers). The work is most often cited by research in Catalysis (1.7k citations), Filtration and Separation (476 citations), Organic Chemistry (1.8k citations), Electrochemistry (337 citations) and Process Chemistry and Technology (137 citations). Bin Dong has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Liqiang Zheng, Tohru Inoue, Na Li, Yanan Gao, Li Yu, Rile Ge, Xueyan Zhao, Shaohua Zhang, Jin Zhang and Wenguang Leng. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal of Colloid and Interface Science, Chemical Communications, The Journal of Physical Chemistry B and Langmuir.

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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