Bin Kong

2.8k citations
75 papers · 2.2k indexed · 1 hit paper · h-index 23

Impact in

Papers in

Bin Kong

70 papers receiving 2.2k citations

Hit Papers

Developing biomedical engineering technologies for reproductive medicine 2022 · 121 citations
1210+1+2Years since publication4080120

Peers

Bin Kong
Comparison fields: 5 of 134
  • Biomaterials 646
  • Rehabilitation 194
  • Automotive Engineering 326
  • Biomedical Engineering 1.1k
  • Molecular Medicine 103
Replace Ji Suk Choi with:
Ji Suk Choi South Korea
Shengli Mi China
Shohreh Mashayekhan Iran
Maria Cornelissen Belgium
Robert Gauvin Canada
Guillermo U. Ruiz‐Esparza United States
Luis Díaz‐Gómez Spain
Sahar Salehi Germany
Klaus‐Peter Schmitz Germany
Mark Ahearne Ireland
Bin Kong relative to Ji Suk Choi South Korea Ji Suk Choi's profile →
Citations per field
00.5×4.5×
Ji Suk Choi · 1×
Citations per year

Countries citing papers authored by Bin Kong

Since Specialization
Citations

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

Fields of papers citing papers by Bin Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016321
2 2017274
3 2020255
4
Developing biomedical engineering technologies for reproductive medicine
Hit paper breakdown →
2022121
5 201696
6 202294
7 201783
8 201879
9 202151
10 202249
11 202248
12 202344
13 202342
14 202241
15 202341
16 201938
17 201637
18 202232
19 202229
20 202229

About Bin Kong

Bin Kong is a scholar working on Biomedical Engineering, Biomaterials, Radiology, Nuclear Medicine and Imaging, Surgery and Rehabilitation, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (18 papers), Corneal Surgery and Treatments (16 papers), Wound Healing and Treatments (11 papers), Ocular Surface and Contact Lens (10 papers), Tissue Engineering and Regenerative Medicine (9 papers), 3D Printing in Biomedical Research (9 papers), Welding Techniques and Residual Stresses (7 papers) and Nanoplatforms for cancer theranostics (6 papers). The work is most often cited by research in Biomaterials (646 citations), Rehabilitation (194 citations), Automotive Engineering (326 citations), Biomedical Engineering (1.1k citations) and Molecular Medicine (103 citations). Bin Kong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shengli Mi, Yuanjin Zhao, Rui Liu, Zhengjie Wu, Wei Sun, Xin Su, Yuanyuan Xu, Shengli Mi, Yujuan Zhu and Yun Chen. Their work appears in journals such as Chemical Engineering Journal, Journal of Nanobiotechnology, Scientific Reports, The International Journal of Advanced Manufacturing Technology and Advanced Healthcare Materials.

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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