Bin Deng

5.5k citations
125 papers · 4.4k indexed · h-index 35

Impact in

Papers in

Bin Deng

120 papers receiving 4.3k citations

Peers

Bin Deng
Comparison fields: 5 of 150
  • Water Science and Technology 452
  • Renewable Energy, Sustainability and the Environment 512
  • Materials Chemistry 1.2k
  • Biomedical Engineering 950
  • Molecular Biology 1.5k
Replace Sijia Liu with:
Sijia Liu China
Yuanyuan Cao China
Byoung Chan Kim South Korea
Xiaodong Ye China
Huijie Zhang China
Jayesh Bellare India
Xue Wang China
Xuemei Li China
Nagendra Kumar Kaushik India
Rui Wang China
Bin Deng relative to Sijia Liu China Sijia Liu's profile →
Citations per field
00.5×1.5×2.0×
Sijia Liu · 1×
Citations per year

Countries citing papers authored by Bin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Bin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20248
3 20248
4 20245
5 20232
6 20238
7 20236
8 20238
9 20239
10 20232
11 20235
12 202111
13 201844
14 201897
15 201739
16 201432
17 20110
18 201061
19 20067
20
Study on Optimizing of Separation Conditions for Mixtures of Phenols With High-performance Liquid Chromatography by Using Artificial Neural Network.
19952

About Bin Deng

Bin Deng is a scholar working on Parasitology, Environmental Chemistry, Materials Chemistry, Water Science and Technology and Periodontics, having authored 125 papers that have together received 4.4k indexed citations. Recurring topics across this work include Copper-based nanomaterials and applications (11 papers), Methane Hydrates and Related Phenomena (11 papers), Quantum Dots Synthesis And Properties (9 papers), ZnO doping and properties (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), Toxoplasma gondii Research Studies (8 papers), Chalcogenide Semiconductor Thin Films (8 papers) and Microfluidic and Capillary Electrophoresis Applications (7 papers). The work is most often cited by research in Water Science and Technology (452 citations), Renewable Energy, Sustainability and the Environment (512 citations), Materials Chemistry (1.2k citations), Biomedical Engineering (950 citations) and Molecular Biology (1.5k citations). Bin Deng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include An‐Wu Xu, Hongquan Zhang, Ruiqi Song, Hui Zhang, Heng Lin, Yin Peng, Kaibin Tang, Dwight E. Matthews, Yitai Qian and Weihua Tan. Their work appears in journals such as Chemical Engineering Journal, The Journal of Physical Chemistry B, Analytica Chimica Acta, Fuel and Chemical Communications.

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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