Jing Sui

15.7k total citations · 3 hit papers
288 papers, 9.7k citations indexed

About

Jing Sui is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Jing Sui has authored 288 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Cognitive Neuroscience, 70 papers in Radiology, Nuclear Medicine and Imaging and 45 papers in Experimental and Cognitive Psychology. Recurrent topics in Jing Sui's work include Functional Brain Connectivity Studies (163 papers), Advanced Neuroimaging Techniques and Applications (59 papers) and Neural dynamics and brain function (57 papers). Jing Sui is often cited by papers focused on Functional Brain Connectivity Studies (163 papers), Advanced Neuroimaging Techniques and Applications (59 papers) and Neural dynamics and brain function (57 papers). Jing Sui collaborates with scholars based in China, United States and South Korea. Jing Sui's co-authors include Vince D. Calhoun, Godfrey D. Pearlson, Qingbao Yu, Yuhui Du, Jiayu Chen, Sergey Plis, Mohammad R. Arbabshirani, Rongtao Jiang, Zening Fu and Hao He and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jing Sui

267 papers receiving 9.6k citations

Hit Papers

Single subject prediction of brain disorders in neuroimag... 2016 2026 2019 2022 2016 2020 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Sui China 53 6.4k 3.1k 1.6k 1.4k 661 288 9.7k
Yong Liu China 51 6.4k 1.0× 3.3k 1.1× 1.4k 0.9× 1.5k 1.0× 238 0.4× 323 11.0k
Juan Eugenio Iglesias United States 45 1.8k 0.3× 1.7k 0.6× 202 0.1× 1.0k 0.7× 706 1.1× 189 7.6k
Ching‐Po Lin Taiwan 52 5.6k 0.9× 3.7k 1.2× 1.1k 0.7× 2.5k 1.7× 132 0.2× 321 11.7k
Tie‐Qiang Li Sweden 41 2.7k 0.4× 3.7k 1.2× 270 0.2× 484 0.3× 937 1.4× 134 7.6k
Huafu Chen China 59 10.3k 1.6× 4.4k 1.4× 2.6k 1.6× 2.6k 1.8× 114 0.2× 347 13.2k
Chunshui Yu China 67 10.3k 1.6× 6.0k 2.0× 2.1k 1.3× 2.1k 1.4× 105 0.2× 318 17.0k
Kewei Chen United States 76 7.0k 1.1× 4.7k 1.5× 1.2k 0.7× 6.9k 4.8× 122 0.2× 532 22.6k
João Ricardo Sato Brazil 45 3.3k 0.5× 1.3k 0.4× 921 0.6× 1.0k 0.7× 30 0.0× 277 6.8k
Yongyue Zhang China 12 6.0k 0.9× 6.4k 2.1× 758 0.5× 1.8k 1.2× 106 0.2× 34 13.0k
Christoph S. Herrmann Germany 75 16.4k 2.5× 704 0.2× 2.0k 1.2× 1.8k 1.3× 510 0.8× 297 23.0k

Countries citing papers authored by Jing Sui

Since Specialization
Citations

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

Fields of papers citing papers by Jing Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Sui

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Sui. A scholar is included among the top collaborators of Jing Sui 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 Jing Sui. Jing Sui 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.
Sui, Jing, et al.. (2025). Achieving “Pesticide-Pest Mutual Management” through pest-derived biochar. Talanta. 293. 128028–128028.
2.
Chen, Jiayu, et al.. (2025). Cellular and molecular associations with intrinsic brain organization. Nature Communications. 16(1). 11641–11641.
3.
Liu, Yanhua, et al.. (2024). Stable sandwich-type electrochemical lead ions sensor based on bismuth-metal organic framework and Mxene. Journal of environmental chemical engineering. 12(5). 113603–113603. 9 indexed citations
4.
Jiang, Rongtao, Stephanie Noble, Matthew Rosenblatt, et al.. (2024). The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression. Nature Communications. 15(1). 4411–4411. 36 indexed citations breakdown →
5.
Xiao, Yong, W.F. Miao, Qian Zhang, et al.. (2023). MnO2-modified soybean root derived porous carbon with excellent capacity deionization. Diamond and Related Materials. 136. 110036–110036. 6 indexed citations
6.
Wang, Xiuzhe, Jing Sui, Mengqi Zhang, et al.. (2022). LSCF perovskite oxide in situ grown on reduced graphene oxide as high-performance bifunctional catalyst for zinc-air battery. Diamond and Related Materials. 132. 109668–109668. 6 indexed citations
7.
Luo, Na, Wentao Zhao, Vince D. Calhoun, et al.. (2022). Multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage. Human Brain Mapping. 43(11). 3486–3497. 10 indexed citations
8.
Lu, Dan, Tao Ma, N. Wang, et al.. (2022). Willis Covered Stent for Treating Intracranial Pseudoaneurysms of the Internal Carotid Artery: A Multi-Institutional Study. SHILAP Revista de lepidopterología. 11 indexed citations
9.
Qi, Shile, Jing Sui, Godfrey D. Pearlson, et al.. (2022). Derivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal network. Nature Communications. 13(1). 4929–4929. 30 indexed citations
10.
Wang, Yunpeng, et al.. (2021). APPLICATION OF RECURRENT NEURAL NETWORK IN RESEARCH OF INTELLIGENT WIND TUNNEL BALANCE. 53(8). 2336–2344. 2 indexed citations
11.
Luo, Na, Jing Sui, Anees Abrol, et al.. (2020). Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+ Individuals. Cerebral Cortex. 30(10). 5460–5470. 27 indexed citations
12.
Sui, Jing, et al.. (2020). Emodin Protects Against Acute Pancreatitis-Associated Lung Injury by Inhibiting NLPR3 Inflammasome Activation via Nrf2/HO-1 Signaling. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Qi, Shile, Juan Bustillo, Jessica A. Turner, et al.. (2020). The relevance of transdiagnostic shared networks to the severity of symptoms and cognitive deficits in schizophrenia: a multimodal brain imaging fusion study. Translational Psychiatry. 10(1). 149–149. 19 indexed citations
14.
Wang, Le, Shu-Ming Zhang, Xile Zhang, et al.. (2020). Multi-task autoencoder based classification-regression model for patient-specific VMAT QA. Physics in Medicine and Biology. 65(23). 235023–235023. 34 indexed citations
15.
Zuo, Nianming, Alireza Salami, Yihong Yang, et al.. (2019). Activation‐based association profiles differentiate network roles across cognitive loads. Human Brain Mapping. 40(9). 2800–2812. 17 indexed citations
16.
Yu, Qingbao, Yuhui Du, Jiayu Chen, et al.. (2018). Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. Proceedings of the IEEE. 106(5). 886–906. 58 indexed citations
17.
Sui, Jing. (2009). Research on the self-adaptive denoise and enhancement algorithm for infrared image under ground-sky background. Optical Technique. 1 indexed citations
18.
Sui, Jing. (2008). EFFECTS OF MASSAGE AND ACUPRESSURE ON LOWERING HIGH BLOOD PRESSURE IN PATIENTS WITH GESTATIONAL HYPERTENSION. 1 indexed citations
19.
Sui, Jing. (2008). A Review on Studies of Inoculation Technique to Sclerotinia sclerotiorum.
20.
Sui, Jing, et al.. (2007). A new adaptive nonuniformity correction algorithm for infrared line scanner based on neural networks. Chinese Optics Letters. 5(2). 74–76. 3 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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