Chang Wang

680 total citations
38 papers, 481 citations indexed

About

Chang Wang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chang Wang has authored 38 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chang Wang's work include EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (7 papers) and Neural dynamics and brain function (6 papers). Chang Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (7 papers) and Neural dynamics and brain function (6 papers). Chang Wang collaborates with scholars based in China, Malaysia and Spain. Chang Wang's co-authors include Zongya Zhao, Qiongqiong Ren, Yi Yu, Yongtao Xu, Junqiang Zhao, H. Kodama, Xu Wang, Zhaobing Cai, Yongchao Fang and Xiufang Cui and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Nuclear Physics B.

In The Last Decade

Chang Wang

33 papers receiving 468 citations

Peers

Countries citing papers authored by Chang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Chang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Wang. A scholar is included among the top collaborators of Chang 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 Chang Wang. Chang 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

#	Work	Indexed citations
1	LLM-TFP: Integrating large language models with spatio-temporal features for urban traffic flow prediction 2025 ·Applied Soft Computing ·(unknown), (unknown), Chang Wang	2
2	Bimodal speech emotion recognition via contrastive self-alignment learning 2025 ·Expert Systems with Applications ·Chang Wang, Guihua Wen, (unknown), Lianqi Liu	0
3	Multi-feature fusion RFE random forest for schizophrenia classification and treatment response prediction 2025 ·Scientific Reports ·Chang Wang, (unknown), Jiyuan Zhang, (unknown), (unknown), Xiangyu Chen, Xiaoqiang Li, Zongya Zhao, (unknown), (unknown), Yi Yu	0
4	Engineering of an Aldehyde Dehydrogenase from Neurospora crassa for Crocetin Production 2025 ·Journal of Agricultural and Food Chemistry ·(unknown), Chang Wang, (unknown), Li Li, Jikun Du	1
5	Whole slide image based prognosis prediction in rectal cancer using unsupervised artificial intelligence 2024 ·BMC Cancer ·Xuezhi Zhou, Jing Dai, (unknown), (unknown), Yong Liu, Chang Wang, Zongya Zhao, Chong Wang, Zhixian Gao, (unknown), Yandong Zhao, Wuteng Cao	1
6	Construction and validation of a deep learning prognostic model based on digital pathology images of stage III colorectal cancer 2024 ·European Journal of Surgical Oncology ·Xuezhi Zhou, (unknown), Yue Wu, (unknown), Yong Liu, Chang Wang, Zongya Zhao, Chong Wang, Zhixian Gao, Zhenxin Li, Yandong Zhao, Wuteng Cao	2
7	Radioport: a radiomics-reporting network for interpretable deep learning in BI-RADS classification of mammographic calcification 2024 ·Physics in Medicine and Biology ·(unknown), Jeannie Hsiu Ding Wong, Wei Lin Ng, Chee Seng Chan, Chang Wang, Xuezhi Zhou, (unknown)	0
8	Out-of-Plane Stability of Circular Steel Tubular Vierendeel Truss Arches Incorporating Torsional Effects of Chords 2023 ·Applied Sciences ·Qunfeng Liu, Yun Feng, Chang Wang, Xing Wu, Xiang Ren	0
9	Causal link between prefrontal cortex and EEG microstates: evidence from patients with prefrontal lesion 2023 ·Frontiers in Neuroscience ·Zongya Zhao, (unknown), (unknown), Junming Wang, (unknown), Chang Wang, Yongtao Xu, (unknown), Zhixian Gao, (unknown), Yi Yu	8
10	Multi feature fusion network for schizophrenia classification and abnormal brain network recognition 2023 ·Brain Research Bulletin ·Chang Wang, (unknown), (unknown), Rui Zhang, (unknown), Yang‐Chang Wu, (unknown), Mengke Wang, (unknown), (unknown), Zongya Zhao, Yongfeng Yang, (unknown), Yi Yu	2
11	EEG microstate in first-episode drug-naive adolescents with depression 2022 ·Journal of Neural Engineering ·Zongya Zhao, (unknown), Xiaofeng Zhao, (unknown), (unknown), Xingyang Wu, (unknown), (unknown), Chang Wang, Yongtao Xu, Junqiang Zhao, Zhixian Gao, (unknown), (unknown)	39
12	MI-EEG classification using Shannon complex wavelet and convolutional neural networks 2022 ·Applied Soft Computing ·Chang Wang, Yang‐Chang Wu, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Zongya Zhao, (unknown)	18
13	Design and Identification of Two Novel Resveratrol Derivatives As Potential LSD1 Inhibitors 2021 ·Future Medicinal Chemistry ·Yongtao Xu, Yunlong Gao, Min Yang, Meiting Wang, Jiarui Lu, (unknown), Junqiang Zhao, (unknown), Chang Wang, Zongya Zhao, Qinghe Gao, Ying‐Chao Duan, (unknown)	8
14	Classification of Schizophrenia by Combination of Brain Effective and Functional Connectivity 2021 ·Frontiers in Neuroscience ·Zongya Zhao, Jun Li, (unknown), Chang Wang, Junqiang Zhao, (unknown), Qiongqiong Ren, (unknown), Yi Yu	19
15	Dynamic changes of brain networks during feedback-related processing of reinforcement learning in schizophrenia 2020 ·Brain Research ·Zongya Zhao, Chang Wang, (unknown), Junqiang Zhao, Qiongqiong Ren, Yongtao Xu, Jie Li, Yi Yu	7
16	Multi-modality Anatomical and Functional Medical Image Fusion Based on Simplified-spatial Frequency-pulse Coupled Neural Networks And Region Energy-weighted Average Strategy In Non-sub Sampled Contourlet Transform Domain 2019 ·Journal of Medical Imaging and Health Informatics ·Chang Wang, Zongya Zhao, Qiongqiong Ren, Yongtao Xu, Yi Yu	5
17	An Improved Empirical Model for Flood Discharge Atomization and Its Application to Optimize the Flip Bucket of the Nazixia Project 2019 ·International Journal of Environmental Research and Public Health ·Jijian Lian, (unknown), Fang Liu, (unknown), Xiaoqun Wang, Chang Wang	7
18	Influence of La 2 O 3 addition on nano indentation hardness and residual stress of Stellite 6 coating prepared by plasma cladding 2018 ·Journal of Rare Earths ·Yongchao Fang, Xiufang Cui, Zhaobing Cai, Chang Wang, (unknown)	25
19	The same modality medical image registration with large deformation and clinical application based on adaptive diffeomorphic multi-resolution demons 2018 ·BMC Medical Imaging ·Chang Wang, Qiongqiong Ren, Qin Xin, Yi Yu	7
20	Fluid flow and dissipation in intersecting counter-flow pipes 2005 ·Bulletin of the American Physical Society ·Kerem Pekkan, (unknown), Chang Wang, (unknown), Fotis Sotiropoulos, Ajit Yoganathan	1

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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