Yi Su

976 total citations
54 papers, 588 citations indexed

About

Yi Su is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Yi Su has authored 54 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Psychiatry and Mental health, 12 papers in Cognitive Neuroscience and 10 papers in Artificial Intelligence. Recurrent topics in Yi Su's work include Natural Language Processing Techniques (9 papers), Attention Deficit Hyperactivity Disorder (9 papers) and Topic Modeling (8 papers). Yi Su is often cited by papers focused on Natural Language Processing Techniques (9 papers), Attention Deficit Hyperactivity Disorder (9 papers) and Topic Modeling (8 papers). Yi Su collaborates with scholars based in China, United States and Austria. Yi Su's co-authors include Weihua Yue, Li Sun, Xueping Wang, Zhenyu Mao, Yu Huang, Naixue Xiong, Guangquan Xu, Frederick Jelinek, Li Yang and Tracy S. Nolan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Sensors.

In The Last Decade

Yi Su

47 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Su China 12 264 172 68 63 60 54 588
Toshitaka Yamakawa Japan 13 227 0.9× 71 0.4× 73 1.1× 91 1.4× 72 1.2× 59 922
Dong Cui China 12 279 1.1× 198 1.2× 112 1.6× 25 0.4× 29 0.5× 67 751
Yi Deng China 12 276 1.0× 164 1.0× 215 3.2× 46 0.7× 13 0.2× 23 565
Xianzeng Liu China 12 337 1.3× 106 0.6× 19 0.3× 43 0.7× 197 3.3× 19 739
Bin Jing China 18 580 2.2× 196 1.1× 270 4.0× 40 0.6× 69 1.1× 66 1.1k
Ahmad Khodayari-Rostamabad Canada 12 264 1.0× 55 0.3× 19 0.3× 50 0.8× 18 0.3× 15 488
Ai‐Ling Hsu Taiwan 10 195 0.7× 126 0.7× 103 1.5× 59 0.9× 15 0.3× 26 513
Jinnan Gong China 17 476 1.8× 105 0.6× 176 2.6× 43 0.7× 46 0.8× 47 845
Duo Chen China 11 375 1.4× 72 0.4× 12 0.2× 56 0.9× 79 1.3× 29 601
Heinrich Garn Austria 17 346 1.3× 100 0.6× 16 0.2× 47 0.7× 94 1.6× 69 832

Countries citing papers authored by Yi Su

Since Specialization
Citations

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

Fields of papers citing papers by Yi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Su. A scholar is included among the top collaborators of Yi Su 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 Yi Su. Yi Su 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.
Liu, Gang, et al.. (2025). A novel framework for crack segmentation using image augmentation and a CannyNet. Engineering Applications of Artificial Intelligence. 159. 111644–111644.
2.
3.
Stevens‐Lapsley, Jennifer E., Hillary D. Lum, Yi Su, et al.. (2025). Preoperative Cognitive Screening Predicts Postoperative Ambulatory Recovery: A Pilot Study. Clinical Interventions in Aging. Volume 20. 1063–1069.
4.
Sun, Rui, et al.. (2024). Wavelet-integrated deep neural network for deblurring and segmentation of crack images. Mechanical Systems and Signal Processing. 224. 112240–112240. 5 indexed citations
5.
Su, Yi, et al.. (2024). Microstructure and Properties of C/HfC-SiC Composites Prepared by Slurry Impregnation Assisted Precursor Infiltration Pyrolysis. Journal of Inorganic Materials. 39(6). 726–726. 2 indexed citations
6.
Ma, Yuanlin, Kai Gao, Xiaoxuan Sun, et al.. (2024). STON2 variations are involved in synaptic dysfunction and schizophrenia-like behaviors by regulating Syt1 trafficking. Science Bulletin. 69(10). 1458–1471. 2 indexed citations
7.
Su, Yi, et al.. (2023). Association between video gaming time and cognitive functions: A cross-sectional study of Chinese children and adolescents. Asian Journal of Psychiatry. 84. 103584–103584. 9 indexed citations
8.
Lu, Zhe, Yuyanan Zhang, Hao Yan, et al.. (2022). ATAD3B and SKIL polymorphisms associated with antipsychotic-induced QTc interval change in patients with schizophrenia: a genome-wide association study. Translational Psychiatry. 12(1). 56–56. 14 indexed citations
9.
Zhang, Lizong, et al.. (2022). Behaviour recognition based on the integration of multigranular motion features in the Internet of Things. Digital Communications and Networks. 10(3). 666–675. 3 indexed citations
10.
Yang, Yang, Yi Su, Zhe Lu, et al.. (2022). Association of NKAPL rs1635 With Cognitive Function in Early-Onset Schizophrenia. Frontiers in Genetics. 13. 941171–941171.
11.
Blumberger, Daniel M., Eric J. Lenze, Stewart Anderson, et al.. (2021). Low-Dose Augmentation With Buprenorphine for Treatment-Resistant Depression: A Multisite Randomized Controlled Trial With Multimodal Assessment of Target Engagement. SHILAP Revista de lepidopterología. 2(2). 127–135. 6 indexed citations
12.
Zhang, Jishui, et al.. (2021). Association Study of MTHFR C677T Polymorphism and Birth Body Mass With Risk of Autism in Chinese Han Population. Frontiers in Psychiatry. 12. 560948–560948. 5 indexed citations
13.
Yang, Binrang, Yi Su, Ying Qian, et al.. (2020). The Association with Quantitative Response to Attention-Deficit/Hyperactivity Disorder Medication of the Previously Identified Neurodevelopmental Network Genes. Journal of Child and Adolescent Psychopharmacology. 30(6). 348–354. 13 indexed citations
14.
Jiang, Jinbo, Linsen Yang, Yi Su, et al.. (2020). Inductance calculation of conical winding Tesla transformer based on finite element method. International Journal of Applied Electromagnetics and Mechanics. 62(4). 663–671. 2 indexed citations
15.
Liang, Wei, Hao Yu, Yi Su, et al.. (2020). Variants of GRM7 as risk factor and response to antipsychotic therapy in schizophrenia. Translational Psychiatry. 10(1). 83–83. 14 indexed citations
16.
Su, Yi, Li Yang, Mark A. Stein, Qingjiu Cao, & Yufeng Wang. (2016). Osmotic Release Oral System Methylphenidate Versus Atomoxetine for the Treatment of Attention-Deficit/Hyperactivity Disorder in Chinese Youth: 8-Week Comparative Efficacy and 1-Year Follow-Up. Journal of Child and Adolescent Psychopharmacology. 26(4). 362–371. 11 indexed citations
17.
Ji, Ning, Qingjiu Cao, Yi Su, et al.. (2015). Variants of Dopamine Beta Hydroxylase Gene Moderate Atomoxetine Response in Children with Attention-Deficit/Hyperactivity Disorder. Journal of Child and Adolescent Psychopharmacology. 25(8). 625–632. 9 indexed citations
18.
Su, Yi, Yixin Chen, Fang Fang, et al.. (2015). Remission Rate and Functional Outcomes During a 6-Month Treatment With Osmotic-Release Oral-System Methylphenidate in Children With Attention-Deficit/Hyperactivity Disorder. Journal of Clinical Psychopharmacology. 35(5). 525–534. 10 indexed citations
19.
Su, Yi. (2009). Augmented rail gun inductance gradient and its affecting factors. Advanced Technology of Electrical Engineering and Energy. 2 indexed citations
20.
Su, Yi & Frederick Jelinek. (2008). Exploiting prosodic breaks in language modeling with random forests. 91–94. 6 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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