Gui‐Bin Bian

4.6k total citations · 2 hit papers
140 papers, 2.9k citations indexed

About

Gui‐Bin Bian is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Gui‐Bin Bian has authored 140 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Biomedical Engineering, 46 papers in Computer Vision and Pattern Recognition and 40 papers in Surgery. Recurrent topics in Gui‐Bin Bian's work include Soft Robotics and Applications (34 papers), Surgical Simulation and Training (32 papers) and Medical Image Segmentation Techniques (20 papers). Gui‐Bin Bian is often cited by papers focused on Soft Robotics and Applications (34 papers), Surgical Simulation and Training (32 papers) and Medical Image Segmentation Techniques (20 papers). Gui‐Bin Bian collaborates with scholars based in China, United Kingdom and Brazil. Gui‐Bin Bian's co-authors include Jiang Xiao, Zean Tian, Yanhong Liu, Zeng‐Guang Hou, Lei Yang, Xiao‐Liang Xie, Victor Hugo C. de Albuquerque, Arun Kumar Sangaiah, Tiago Carneiro and Pedro P. Rebouças Filho and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and IEEE Access.

In The Last Decade

Gui‐Bin Bian

133 papers receiving 2.8k citations

Hit Papers

Removal of Artifacts from EEG Signals: A Review 2018 2026 2020 2023 2019 2018 100 200 300 400 500

Peers

Gui‐Bin Bian
Comparison fields: 5 of 159
  • Biomedical Engineering 765
  • Computer Vision and Pattern Recognition 726
  • Cognitive Neuroscience 589
  • Radiology, Nuclear Medicine and Imaging 451
  • Artificial Intelligence 356
Replace Vitoantonio Bevilacqua with:
Vitoantonio Bevilacqua Italy
Shaikh Anowarul Fattah Bangladesh
A. Lay-Ekuakille Italy
U. Raghavendra India
Shuang Song China
Yuan Zhang China
Mohammed Ghazal United Arab Emirates
Pau‐Choo Chung Taiwan
Adel Al-Jumaily Australia
Sonya Coleman United Kingdom
Vitoantonio Bevilacqua Italy View profile →
Citations per field, relative to Gui‐Bin Bian
Gui‐Bin Bian · 1×
Citations per year, relative to Gui‐Bin Bian
Gui‐Bin Bian · 1×

Countries citing papers authored by Gui‐Bin Bian

Since Specialization
Citations

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

Fields of papers citing papers by Gui‐Bin Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gui‐Bin Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Gui‐Bin Bian. A scholar is included among the top collaborators of Gui‐Bin Bian 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 Gui‐Bin Bian. Gui‐Bin Bian 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
# Work Indexed citations
1 5
2 0
3 2
4 0
5 1
6 8
7 1
8 1
9 1
10 1
11 4
12 11
13 3
14 13
15 67
16 40
17 49
18 48
19 10
20 27

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026