Kun Bi

821 total citations
43 papers, 568 citations indexed

About

Kun Bi is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Experimental and Cognitive Psychology. According to data from OpenAlex, Kun Bi has authored 43 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Biomedical Engineering and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Kun Bi's work include Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (9 papers) and Mental Health Research Topics (7 papers). Kun Bi is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (9 papers) and Mental Health Research Topics (7 papers). Kun Bi collaborates with scholars based in China, Hong Kong and United States. Kun Bi's co-authors include Qing Lü, Zhijian Yao, Rui Yan, Jiaolong Qin, Maobin Wei, Qingming Luo, Xianjia Huang, Shui Tian, Liu Chu and Shaoqun Zeng and has published in prestigious journals such as Brain Research, Journal of Affective Disorders and International Journal of Environmental Research and Public Health.

In The Last Decade

Kun Bi

42 papers receiving 554 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kun Bi China 17 266 133 82 70 56 43 568
Zhen Yang China 15 127 0.5× 44 0.3× 84 1.0× 18 0.3× 22 0.4× 74 723
M. Guazzelli Brazil 16 325 1.2× 229 1.7× 21 0.3× 35 0.5× 515 9.2× 142 1.2k
Xiaoliang Zhang China 11 106 0.4× 83 0.6× 26 0.3× 9 0.1× 38 0.7× 35 448
Erik Lee United States 12 164 0.6× 45 0.3× 93 1.1× 18 0.3× 97 1.7× 28 440
Dazhi Cheng China 14 165 0.6× 64 0.5× 28 0.3× 10 0.1× 19 0.3× 42 770
Haifang Li China 12 284 1.1× 61 0.5× 37 0.5× 4 0.1× 14 0.3× 41 524
Jorge I. Aunon United States 14 714 2.7× 51 0.4× 14 0.2× 10 0.1× 88 1.6× 25 937
Etienne Combrisson France 13 760 2.9× 115 0.9× 70 0.9× 2 0.0× 30 0.5× 22 987
Alfred B. Yu United States 10 535 2.0× 101 0.8× 143 1.7× 3 0.0× 16 0.3× 17 837
Haiguang Wen United States 12 702 2.6× 53 0.4× 127 1.5× 12 0.2× 39 0.7× 20 881

Countries citing papers authored by Kun Bi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Bi. A scholar is included among the top collaborators of Kun Bi 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 Kun Bi. Kun Bi 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
1.
Bi, Kun, Jiliang Pan, Xun Xi, et al.. (2023). Study on Hydro-Mechanical Coupling Failure and Permeability Enhancement Mechanisms for Sandstone with T-Shaped Fractures. Materials. 16(8). 3118–3118. 1 indexed citations
2.
Shao, Junneng, Zhongpeng Dai, Rongxin Zhu, et al.. (2019). Early identification of bipolar from unipolar depression before manic episode: Evidence from dynamic rfMRI. Bipolar Disorders. 21(8). 774–784. 31 indexed citations
3.
Jiang, Haiteng, Shui Tian, Kun Bi, Qing Lü, & Zhijian Yao. (2019). Hyperactive frontolimbic and frontocentral resting-state gamma connectivity in major depressive disorder. Journal of Affective Disorders. 257. 74–82. 14 indexed citations
4.
Wang, Xinyi, Jiaolong Qin, Kun Bi, et al.. (2019). Rehabilitative compensatory mechanism of hierarchical subnetworks in major depressive disorder: A longitudinal study across multi-sites. European Psychiatry. 58. 54–62. 17 indexed citations
5.
Wang, Li, Kun Bi, Jing An, et al.. (2019). Abnormal structural brain network and hemisphere-specific changes in bulimia nervosa. Translational Psychiatry. 9(1). 206–206. 19 indexed citations
6.
Bi, Kun, Shui Tian, Xiaoxue Liu, et al.. (2018). An enriched granger causal model allowing variable static anatomical constraints. NeuroImage Clinical. 21. 101592–101592. 6 indexed citations
7.
Shi, Jiabo, Rui Yan, Xiaoxue Liu, et al.. (2018). Differentiation of Transformed Bipolar Disorder From Unipolar Depression by Resting-State Functional Connectivity Within Reward Circuit. Frontiers in Psychology. 9. 2586–2586. 8 indexed citations
8.
Tian, Shui, Mohammad Ridwan Chattun, Siqi Zhang, et al.. (2018). Dynamic community structure in major depressive disorder: A resting-state MEG study. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 92. 39–47. 23 indexed citations
9.
Zhang, Siqi, Shui Tian, Mohammad Ridwan Chattun, et al.. (2018). A supplementary functional connectivity microstate attached to the default mode network in depression revealed by resting-state magnetoencephalography. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 83. 76–85. 16 indexed citations
10.
Bi, Kun, Lingling Hua, Maobin Wei, et al.. (2015). Dynamic functional–structural coupling within acute functional state change phases: Evidence from a depression recognition study. Journal of Affective Disorders. 191. 145–155. 25 indexed citations
11.
Huang, Xianjia, et al.. (2015). A Model for Predicting Temperature Produced by Upward Spreading Cable Fire under Natural Ventilation. Energy Procedia. 66. 177–180. 4 indexed citations
12.
Wei, Maobin, Jiaolong Qin, Rui Yan, et al.. (2014). Association of resting-state network dysfunction with their dynamics of inter-network interactions in depression. Journal of Affective Disorders. 174. 527–534. 48 indexed citations
13.
Lü, Qing, Haiteng Jiang, Kun Bi, Liu Chu, & Zhijian Yao. (2014). Discriminative analysis with a limited number of MEG trials in depression. Journal of Affective Disorders. 167. 207–214. 15 indexed citations
14.
Lü, Qing, et al.. (2013). Predicting depression based on dynamic regional connectivity: A windowed Granger causality analysis of MEG recordings. Brain Research. 1535. 52–60. 24 indexed citations
15.
Bi, Kun, et al.. (2010). Non-destructive measurement of wheat spike characteristics based on morphological image processing. Nongye gongcheng xuebao. 26(12). 212–216. 19 indexed citations
16.
Bi, Kun, et al.. (2010). Reconstruction of a bus fire based on numerical simulation. JUSTC. 40(4). 387–394. 8 indexed citations
17.
Bi, Kun, et al.. (2008). A LabVIEW driver for X-ray flat-panel detector. Journal of X-Ray Science and Technology. 16(4). 261–268. 5 indexed citations
18.
Zeng, Shaoqun, Xiaohua Lv, Kun Bi, et al.. (2007). Analysis of the dispersion compensation of acousto-optic deflectors used for multiphoton imaging. Journal of Biomedical Optics. 12(2). 24015–24015. 20 indexed citations
19.
Geng, Tao, et al.. (2007). Study of the image quality based on MTF in volume hologram storage system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6827. 68271C–68271C. 2 indexed citations
20.
Bi, Kun, Shaoqun Zeng, Jian Sun, et al.. (2006). Position of the prism in a dispersion-compensated acousto-optic deflector for multiphoton imaging. Applied Optics. 45(33). 8560–8560. 7 indexed citations

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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