He Sui

794 total citations
17 papers, 487 citations indexed

About

He Sui is a scholar working on Artificial Intelligence, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, He Sui has authored 17 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in He Sui's work include Anomaly Detection Techniques and Applications (6 papers), Network Security and Intrusion Detection (4 papers) and COVID-19 diagnosis using AI (3 papers). He Sui is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Network Security and Intrusion Detection (4 papers) and COVID-19 diagnosis using AI (3 papers). He Sui collaborates with scholars based in China and South Korea. He Sui's co-authors include Feng Shi, Dinggang Shen, Liming Xia, Dijia Wu, Huan Yuan, Zhanhao Mo, Yaozong Gao, Changqing Zhang, Fuhua Yan and Bin Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

He Sui

15 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
He Sui China	7	327	242	88	72	48	17	487
Neha Gianchandani Canada	4	427 1.3×	317 1.3×	91 1.0×	79 1.1×	25 0.5×	5	549
Huan Yuan China	4	486 1.5×	318 1.3×	79 0.9×	130 1.8×	15 0.3×	6	612
Sakshi Ahuja India	7	331 1.0×	251 1.0×	114 1.3×	39 0.5×	94 2.0×	10	450
Tej Bahadur Chandra India	8	297 0.9×	184 0.8×	80 0.9×	36 0.5×	15 0.3×	18	425
Vaishnavi Singh India	3	681 2.1×	471 1.9×	119 1.4×	146 2.0×	26 0.5×	6	823
Daniel Kermany United States	5	514 1.6×	343 1.4×	137 1.6×	42 0.6×	29 0.6×	8	641
Vaibhav Arora India	7	295 0.9×	201 0.8×	101 1.1×	44 0.6×	9 0.2×	10	404
Bejoy Abraham India	9	295 0.9×	233 1.0×	96 1.1×	33 0.5×	22 0.5×	17	417
Utkarsh Sinha India	6	295 0.9×	196 0.8×	66 0.8×	44 0.6×	9 0.2×	13	368
Deepti Mittal India	12	503 1.5×	270 1.1×	239 2.7×	46 0.6×	42 0.9×	33	724

Countries citing papers authored by He Sui

Since Specialization

Citations

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

Fields of papers citing papers by He Sui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Sui

This figure shows the co-authorship network connecting the top 25 collaborators of He Sui. A scholar is included among the top collaborators of He 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 He Sui. He Sui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Zhang, Yixiang, et al.. (2025). A multi-classification deep neural network for cancer type identification from high-dimension, small-sample and imbalanced gene microarray data. Scientific Reports. 15(1). 5239–5239. 1 indexed citations

Shang, Wenli, et al.. (2025). Complicated Imbalanced and Overlapped Data Oversampling Approach via Hypersphere Coverage and Adaptive Differential Evolution for Anomaly Detection of Industrial Internet of Things. IEEE Internet of Things Journal. 12(10). 14002–14015. 1 indexed citations

Liu, Yansong, et al.. (2024). A hybrid sampling method for highly imbalanced and overlapped data classification with complex distribution. Information Sciences. 661. 120117–120117. 8 indexed citations

Sui, He, et al.. (2024). An Anomaly Detection Model Based on Pearson Correlation Coefficient and Gradient Booster Mechanism. International Journal of Advanced Computer Science and Applications. 15(6).

Shang, Wenli, et al.. (2024). Acceleration offloading for differential privacy protection based on federated learning in edge intelligent controllers. Future Generation Computer Systems. 163. 107526–107526.

Liu, Yansong, Shuang Wang, He Sui, & Li Zhu. (2024). An ensemble learning method with GAN-based sampling and consistency check for anomaly detection of imbalanced data streams with concept drift. PLoS ONE. 19(1). e0292140–e0292140. 4 indexed citations

Liu, Yansong, et al.. (2024). Selective ensemble method for anomaly detection based on parallel learning. Scientific Reports. 14(1). 1420–1420. 6 indexed citations

Sui, He, Yu Gong, Lin Liu, et al.. (2023). Comparison of Artificial Intelligence-Assisted Compressed Sensing (ACS) and Routine Two-Dimensional Sequences on Lumbar Spine Imaging. Journal of Pain Research. Volume 16. 257–267. 12 indexed citations

Cui, Cancan, He Sui, Zhijia Wang, et al.. (2023). Thyroid hormone sensitivity and diabetes onset: a longitudinal cross-lagged cohort. Frontiers in Endocrinology. 14. 1267612–1267612. 4 indexed citations

10.

Wang, Hai, Zhanhao Mo, He Sui, et al.. (2023). Association of baseline and dynamic arterial stiffness status with dyslipidemia: a cohort study. Frontiers in Endocrinology. 14. 1243673–1243673. 1 indexed citations

11.

Wang, Shuang, et al.. (2023). GAN-SR Anomaly Detection Model Based on Imbalanced Data. IEICE Transactions on Information and Systems. E106.D(7). 1209–1218. 6 indexed citations

12.

Sui, He, Jin Li, Lin Liu, et al.. (2022). Accelerating Knee MRI: 3D Modulated Flip-Angle Technique in Refocused Imaging with an Extended Echo Train and Compressed Sensing. SHILAP Revista de lepidopterología. 4 indexed citations

13.

Sui, He, Jiaojiao Wu, Lin Liu, et al.. (2022). Nomograms predict prognosis and hospitalization time using non-contrast CT and CT perfusion in patients with ischemic stroke. Frontiers in Neuroscience. 16. 912287–912287. 5 indexed citations

14.

Di, Donglin, Feng Shi, Fuhua Yan, et al.. (2020). Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Analysis. 68. 101910–101910. 54 indexed citations

15.

Hua, Rui, Yaozong Gao, He Sui, et al.. (2020). Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images. Frontiers in Computational Neuroscience. 14. 9–9. 44 indexed citations

16.

Xia, Liming, Fuhua Yan, Feng Shi, et al.. (2020). Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. IEEE Transactions on Medical Imaging. 39(8). 2606–2614. 172 indexed citations

17.

Sun, Liang, Zhanhao Mo, Fuhua Yan, et al.. (2020). Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE Journal of Biomedical and Health Informatics. 24(10). 2798–2805. 165 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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