Xixi Wang

771 total citations
26 papers, 427 citations indexed

About

Xixi Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Xixi Wang has authored 26 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Xixi Wang's work include Functional Brain Connectivity Studies (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Remote-Sensing Image Classification (3 papers). Xixi Wang is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Remote-Sensing Image Classification (3 papers). Xixi Wang collaborates with scholars based in China, United States and Germany. Xixi Wang's co-authors include Bo Jiang, Xiao Wang, Bin Luo, Rajeev D. S. Raizada, Bin Luo, Cihui Yang, Colin Humphries, Leonardo Fernandino, Ziyan Zhang and Andrew Anderson and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Cerebral Cortex and Sensors.

In The Last Decade

Xixi Wang

22 papers receiving 415 citations

Peers

Xixi Wang

CVPR

RNMI

Mausumi Acharyya India

Saeed Meshgini Iran

Antonio Rodrı́guez-Sánchez Austria

T. Rajendran India

Ali Arı Türkiye

Pratheepan Yogarajah United Kingdom

Fengyi Wu China

Weibei Dou China

Qingyang Li China

Mausumi Acharyya India

Xixi Wang

230 ×2.0

84 ×0.8

204 ×1.9

CVPR

93 ×1.1

70 ×1.5

RNMI

Citations per year, relative to Xixi Wang Xixi Wang (= 1×) peers Mausumi Acharyya

Countries citing papers authored by Xixi Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xixi Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xixi Wang

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

All Works

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20 of 20 papers shown

Wang, Xixi, et al.. (2025). Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance. ArXiv.org. 5829–5842.

Wang, Yongfei, Jian Wang, Yunyan Wan, et al.. (2025). Postsurgery risk factors for bile duct stone recurrence. Current Problems in Surgery. 75. 101959–101959.

Wang, Xiao, Chao Wang, Xixi Wang, et al.. (2025). MambaEVT: Event Stream-Based Visual Object Tracking Using State Space Model. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 278–291. 2 indexed citations

Wang, Xixi, Yifei Fan, Qin Wang, et al.. (2025). Tumor-infiltrating nerves: unraveling the role of cancer neuroscience in tumorigenesis, disease progression, and emerging therapies. Discover Oncology. 16(1). 1209–1209. 2 indexed citations

Liu, Yan, et al.. (2024). SemanticFormer: Hyperspectral image classification via semantic transformer. Pattern Recognition Letters. 179. 1–8. 4 indexed citations

Wang, Xixi, et al.. (2024). Learning Dynamic Batch-Graph Representation for Deep Representation Learning. International Journal of Computer Vision. 133(1). 84–105. 2 indexed citations

Wang, Xixi, Xiao Wang, Bo Jiang, Jin Tang, & Bin Luo. (2024). MutualFormer: Multi-modal Representation Learning via Cross-Diffusion Attention. International Journal of Computer Vision. 132(9). 3867–3888. 6 indexed citations

Jiang, Bo, et al.. (2024). Chest x-ray diagnosis via spatial-channel high-order attention representation learning. Physics in Medicine and Biology. 69(4). 45026–45026.

Wang, Xixi, Bo Jiang, Xiao Wang, Jinhui Tang, & Bin Luo. (2023). Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer Based Approach. IEEE Transactions on Multimedia. 26. 1578–1588. 4 indexed citations

10.

Jiang, Bo, et al.. (2023). VcT: Visual Change Transformer for Remote Sensing Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 63 indexed citations

11.

Yang, Cihui, et al.. (2022). TransConver: transformer and convolution parallel network for developing automatic brain tumor segmentation in MRI images. Quantitative Imaging in Medicine and Surgery. 12(4). 2397–2415. 51 indexed citations

12.

Jiang, Bo, Xixi Wang, Aihua Zheng, Jin Tang, & Bin Luo. (2021). PH-GCN: Person Retrieval With Part-Based Hierarchical Graph Convolutional Network. IEEE Transactions on Multimedia. 24. 3218–3228. 18 indexed citations

13.

Liu, Lili, Xin Chen, Zhiping Wang, Xixi Wang, & Sen Lin. (2019). The removal mechanism and performance of tetrabromobisphenol A with a novel multi-group activated carbon from recycling long-root Eichhornia crassipes plants. RSC Advances. 9(43). 24760–24769. 22 indexed citations

14.

Anderson, Andrew, Edmund C. Lalor, Feng Lin, et al.. (2018). Multiple Regions of a Cortical Network Commonly Encode the Meaning of Words in Multiple Grammatical Positions of Read Sentences. Cerebral Cortex. 29(6). 2396–2411. 21 indexed citations

15.

Wang, Xixi, Ping Ren, Mark Mapstone, et al.. (2017). Identify a shared neural circuit linking multiple neuropsychiatric symptoms with Alzheimer’s pathology. Brain Imaging and Behavior. 13(1). 53–64. 19 indexed citations

16.

Anderson, Andrew, Jeffrey R. Binder, Leonardo Fernandino, et al.. (2016). Predicting Neural Activity Patterns Associated with Sentences Using a Neurobiologically Motivated Model of Semantic Representation. Cerebral Cortex. 27(9). 4379–4395. 62 indexed citations

17.

Wismüller, Axel, Anas Z. Abidin, Adora M. DSouza, et al.. (2015). Nonlinear functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9417. 94170M–94170M. 22 indexed citations

18.

Wang, Xixi, Mahesh Nagarajan, Anas Z. Abidin, et al.. (2015). Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9417. 94171N–94171N. 1 indexed citations

19.

Wismüller, Axel, Adora M. DSouza, Anas Z. Abidin, et al.. (2015). Functional connectivity analysis in resting state fMRI with echo-state networks and non-metric clustering for network structure recovery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9417. 94171M–94171M. 1 indexed citations

20.

Wang, Xixi, et al.. (2009). A Hybrid Artificial Immune Optimization Method. International Journal of Computational Intelligence Systems. 2(3). 248–255. 4 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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