Xiaogang Yan

1.4k total citations
48 papers, 970 citations indexed

About

Xiaogang Yan is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Neurology. According to data from OpenAlex, Xiaogang Yan has authored 48 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 14 papers in Control and Systems Engineering and 8 papers in Neurology. Recurrent topics in Xiaogang Yan's work include Visual perception and processing mechanisms (19 papers), Neural dynamics and brain function (13 papers) and Motor Control and Adaptation (11 papers). Xiaogang Yan is often cited by papers focused on Visual perception and processing mechanisms (19 papers), Neural dynamics and brain function (13 papers) and Motor Control and Adaptation (11 papers). Xiaogang Yan collaborates with scholars based in Canada, China and United States. Xiaogang Yan's co-authors include J. Douglas Crawford, Yunong Zhang, Lauren E. Sergio, Michael Vesia, Dechao Chen, Yinyan Zhang, Hongying Wang, Steven L. Prime, Amirsaman Sajad and Denise Y. P. Henriques and has published in prestigious journals such as Journal of Neuroscience, Current Biology and Journal of Neurophysiology.

In The Last Decade

Xiaogang Yan

46 papers receiving 965 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaogang Yan Canada 18 547 272 112 108 107 48 970
Yu Zhao United States 21 639 1.2× 296 1.1× 175 1.6× 49 0.5× 151 1.4× 78 1.3k
Jacques Droulez France 22 782 1.4× 89 0.3× 243 2.2× 158 1.5× 73 0.7× 68 1.4k
Shingo Shimoda Japan 19 361 0.7× 196 0.7× 151 1.3× 30 0.3× 502 4.7× 108 1.1k
Rongrong Fu China 17 474 0.9× 118 0.4× 79 0.7× 17 0.2× 192 1.8× 67 1.1k
Wanzhong Chen China 22 1.3k 2.4× 86 0.3× 165 1.5× 94 0.9× 133 1.2× 83 1.7k
Bernd Porr United Kingdom 15 513 0.9× 129 0.5× 69 0.6× 22 0.2× 330 3.1× 80 1.0k
Gaurav Misra United States 18 285 0.5× 73 0.3× 39 0.3× 60 0.6× 121 1.1× 48 948
Minija Tamošiūnaitė Germany 14 239 0.4× 368 1.4× 205 1.8× 37 0.3× 130 1.2× 58 756
Mario-Alberto Ibarra-Manzano Mexico 15 107 0.2× 186 0.7× 211 1.9× 43 0.4× 77 0.7× 74 755

Countries citing papers authored by Xiaogang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaogang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaogang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaogang Yan. A scholar is included among the top collaborators of Xiaogang Yan 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 Xiaogang Yan. Xiaogang Yan 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.
Yan, Xiaogang, et al.. (2025). KBNet: A Language and Vision Fusion Multi-Modal Framework for Rice Disease Segmentation. Plants. 14(16). 2465–2465. 2 indexed citations
2.
Zhao, Tianrui, Guoxiong Zhou, Yang Hu, et al.. (2025). LVR: A language and vision fusion method for rice diseases segmentation under complex environment. European Journal of Agronomy. 168. 127599–127599. 4 indexed citations
3.
Yan, Xiaogang, et al.. (2024). Influence of gaze, vision, and memory on hand kinematics in a placement task. Journal of Neurophysiology. 132(1). 147–161.
4.
5.
Bharmauria, Vishal, et al.. (2020). Integration of Eye-Centered and Landmark-Centered Codes in Frontal Eye Field Gaze Responses. Cerebral Cortex. 30(9). 4995–5013. 12 indexed citations
6.
Sajad, Amirsaman, et al.. (2019). Timing Determines Tuning: A Rapid Spatial Transformation in Superior Colliculus Neurons during Reactive Gaze Shifts. eNeuro. 7(1). ENEURO.0359–18.2019. 6 indexed citations
7.
Sajad, Amirsaman, et al.. (2018). The Influence of a Memory Delay on Spatial Coding in the Superior Colliculus: Is Visual Always Visual and Motor Always Motor?. Frontiers in Neural Circuits. 12. 74–74. 11 indexed citations
8.
Jin, Long, Bolin Liao, Mei Liu, et al.. (2017). Different-Level Simultaneous Minimization Scheme for Fault Tolerance of Redundant Manipulator Aided with Discrete-Time Recurrent Neural Network. Frontiers in Neurorobotics. 11. 50–50. 34 indexed citations
9.
Sajad, Amirsaman, et al.. (2016). Transition from Target to Gaze Coding in Primate Frontal Eye Field during Memory Delay and Memory–Motor Transformation. eNeuro. 3(2). ENEURO.0040–16.2016. 28 indexed citations
10.
Zhang, Yunong, et al.. (2015). Z-type control of populations for Lotka–Volterra model with exponential convergence. Mathematical Biosciences. 272. 15–23. 38 indexed citations
11.
Dash, Suryadeep, Xiaogang Yan, Hongying Wang, & J. Douglas Crawford. (2015). Continuous Updating of Visuospatial Memory in Superior Colliculus during Slow Eye Movements. Current Biology. 25(3). 267–274. 22 indexed citations
12.
Sajad, Amirsaman, et al.. (2014). Visual–Motor Transformations Within Frontal Eye Fields During Head-Unrestrained Gaze Shifts in the Monkey. Cerebral Cortex. 25(10). 3932–3952. 29 indexed citations
13.
Chen, Ying, Simona Monaco, Patrick Byrne, et al.. (2014). Allocentric versus Egocentric Representation of Remembered Reach Targets in Human Cortex. Journal of Neuroscience. 34(37). 12515–12526. 73 indexed citations
14.
Lê, Anh, Michael Vesia, Xiaogang Yan, Matthias Niemeier, & J. Douglas Crawford. (2013). The Right Anterior Intraparietal Sulcus Is Critical for Bimanual Grasping: A TMS Study. Cerebral Cortex. 24(10). 2591–2603. 21 indexed citations
15.
Yan, Xiaogang, et al.. (2012). Neural Activity in Superior Parietal Cortex during Rule-based Visual-motor Transformations. Journal of Cognitive Neuroscience. 25(3). 436–454. 45 indexed citations
16.
Yan, Xiaogang, Ankit N. Khambhati, Lei Liu, & Tai Sing Lee. (2012). Neural dynamics of image representation in the primary visual cortex. Journal of Physiology-Paris. 106(5-6). 250–265. 2 indexed citations
17.
DeSouza, Joseph F. X., et al.. (2011). Intrinsic Reference Frames of Superior Colliculus Visuomotor Receptive Fields during Head-Unrestrained Gaze Shifts. Journal of Neuroscience. 31(50). 18313–18326. 28 indexed citations
18.
Vesia, Michael, Steven L. Prime, Xiaogang Yan, Lauren E. Sergio, & J. Douglas Crawford. (2010). Specificity of Human Parietal Saccade and Reach Regions during Transcranial Magnetic Stimulation. Journal of Neuroscience. 30(39). 13053–13065. 127 indexed citations
19.
DeSouza, Joseph F. X., et al.. (2009). A method for mapping response fields and determining intrinsic reference frames of single-unit activity: Applied to 3D head-unrestrained gaze shifts. Journal of Neuroscience Methods. 180(1). 171–184. 16 indexed citations
20.
Wang, Hongying, et al.. (2008). Neck Muscle Synergies During Stimulation and Inactivation of the Interstitial Nucleus of Cajal (INC). Journal of Neurophysiology. 100(3). 1677–1685. 15 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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