Bingchen Li

3.8k citations
79 papers · 2.6k indexed · 3 hit papers · h-index 21

Bingchen Li

72 papers receiving 2.6k citations

Hit Papers

Sebum‐Membrane‐Inspired ...11220162026201920224008001.2k

Peers

Bingchen Li
Comparison fields: 5 of 172
  • Artificial Intelligence 1.0k
  • Rehabilitation 89
  • Molecular Biology 696
  • Computer Vision and Pattern Recognition 200
  • Cancer Research 147
Replace Yi Shen with:
Yi Shen China
Xiaoke Ma China
Sang‐Bum Kim South Korea
Yuansheng Liu China
Lan Yan China
Yongxin Yang China
Xudong Cao China
Fei Xia China
Weipeng Cao China
Bingchen Li relative to Yi Shen China Yi Shen's profile →
Citations per field
00.5×1.5×2.4×
Yi Shen · 1×
Citations per year

Countries citing papers authored by Bingchen Li

Since Specialization
Citations

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

Fields of papers citing papers by Bingchen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20240
6 202418
7 202321
8 20231
9 202343
10 202331
11 20234
12 20234
13 20235
14
Sebum‐Membrane‐Inspired Protein‐Based Bioprotonic Hydrogel for Artificial Skin and Human‐Machine Merging Interfacebreakdown →
2023112
15 20230
16 201920
17 201817
18
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classificationbreakdown →
20161310
19 201452
20 20022

About Bingchen Li

Bingchen Li is a scholar working on Instrumentation, Biological Psychiatry, Media Technology, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (15 papers), RNA Interference and Gene Delivery (8 papers), Fusion materials and technologies (8 papers), Additive Manufacturing Materials and Processes (7 papers), Nuclear Materials and Properties (5 papers), MicroRNA in disease regulation (5 papers), Advanced Image Processing Techniques (5 papers) and Advanced Battery Materials and Technologies (4 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Rehabilitation (89 citations), Molecular Biology (696 citations), Computer Vision and Pattern Recognition (200 citations) and Cancer Research (147 citations). Bingchen Li has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Jun Tian, Peng Zhou, Wei Shi, Bo Xu, Zhenyu Qi, Hongwei Hao, Huanshun Yin, Shiyun Ai, Yunlei Zhou and Zhiqing Yang. Their work appears in journals such as Biosensors and Bioelectronics, Medicine, Electrochimica Acta, IEEE Access and Journal of Nuclear 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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