Wei Xiang

538 total citations
41 papers, 342 citations indexed

About

Wei Xiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wei Xiang has authored 41 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wei Xiang's work include ECG Monitoring and Analysis (5 papers), Video Surveillance and Tracking Methods (4 papers) and COVID-19 diagnosis using AI (4 papers). Wei Xiang is often cited by papers focused on ECG Monitoring and Analysis (5 papers), Video Surveillance and Tracking Methods (4 papers) and COVID-19 diagnosis using AI (4 papers). Wei Xiang collaborates with scholars based in China, United States and Australia. Wei Xiang's co-authors include Vassilis Athitsos, Li Cao, Jun Wu, Stephanie Baker, Ian Atkinson, Xiangkui Li, Mingjie Gao, Dongqing Zhang, Kuangang Fan and Heather Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and International Journal of Molecular Sciences.

In The Last Decade

Wei Xiang

36 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Xiang China	11	104	57	50	46	37	41	342
Xianzheng Huang United States	13	19 0.2×	14 0.2×	4 0.1×	20 0.4×	44 1.2×	43	412
Pradeep Kumar Singh India	9	62 0.6×	19 0.3×	44 0.9×	6 0.1×	22 0.6×	51	431
Ik Hee Ryu South Korea	16	82 0.8×	53 0.9×	131 2.6×	11 0.2×	64 1.7×	45	863
Jiyoung Jung South Korea	10	152 1.5×	9 0.2×	8 0.2×	10 0.2×	37 1.0×	51	367
Prakhar Bhardwaj India	4	117 1.1×	7 0.1×	18 0.4×	7 0.2×	28 0.8×	5	563
Subhamoy Mandal India	11	66 0.6×	108 1.9×	14 0.3×	9 0.2×	165 4.5×	43	439
E. Álvarez Venezuela	6	141 1.4×	59 1.0×	4 0.1×	22 0.5×	7 0.2×	17	456
Shuli Guo China	8	35 0.3×	3 0.1×	23 0.5×	33 0.7×	50 1.4×	32	242
Shingo Okamoto Japan	10	88 0.8×	17 0.3×	14 0.3×	4 0.1×	91 2.5×	75	327
Jianfeng Xu China	10	63 0.6×	67 1.2×	6 0.1×	5 0.1×	5 0.1×	19	402

Countries citing papers authored by Wei Xiang

Since Specialization

Citations

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

Fields of papers citing papers by Wei Xiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Xiang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xiang, Wei, et al.. (2025). Unifying ground and air: a comprehensive review of deep learning-enabled CAVs and UAVs. Artificial Intelligence Review. 59(1).

Hu, Zhengwei, Wei Xiang, Jingchao Peng, & Haitao Zhao. (2025). Memory-guided reconstruction for generalized zero-shot industrial fault diagnosis. Journal of Process Control. 154. 103531–103531.

Chen, Linlin, et al.. (2024). Yi printed character recognition based on deep learning. Procedia Computer Science. 242. 584–591. 1 indexed citations

Li, Xiangkui, et al.. (2024). Influence of Body Mass Index on the Prognostic Value of N-Terminal Pro-B-Type Natriuretic Peptide Level in Chinese Patients with Heart Failure. International Heart Journal. 65(1). 47–54. 1 indexed citations

Liu, Jian, et al.. (2024). Personalized blood pressure estimation using multiview fusion information of wearable physiological signals and transfer learning. Applied Soft Computing. 167. 112390–112390. 2 indexed citations

Li, Xiangkui, et al.. (2023). Automated inter-patient arrhythmia classification with dual attention neural network. Computer Methods and Programs in Biomedicine. 236. 107560–107560. 8 indexed citations

Li, Xiangkui, Fan Feng, Jian Zhang, et al.. (2023). Inter-patient ECG heartbeat classification for arrhythmia classification: a new approach of multi-layer perceptron with weight capsule and sequence-to-sequence combination. Frontiers in Physiology. 14. 1247587–1247587. 3 indexed citations

Huang, Tao, et al.. (2023). Road crack avoidance: a convolutional neural network-based smart transportation system for intelligent vehicles. Journal of Intelligent Transportation Systems. 28(5). 605–617. 3 indexed citations

Luo, Bin, et al.. (2023). Automated detection of multi-class urinary sediment particles: An accurate deep learning approach. Journal of Applied Biomedicine. 43(4). 672–683. 6 indexed citations

10.

Zhao, Yiming, et al.. (2022). Method for judging parking status based on yolov2 target detection algorithm. Procedia Computer Science. 199. 1355–1362. 5 indexed citations

11.

Xiang, Wei, et al.. (2022). Rethinking the Dilated Encoder in TE-YOLOF: An Approach Based on Attention Mechanism to Improve Performance for Blood Cell Detection. International Journal of Molecular Sciences. 23(21). 13355–13355. 2 indexed citations

12.

Bu, Ran, et al.. (2021). COVID-19 Interpretable Diagnosis Algorithm Based on a Small Number of Chest X-Ray Samples. Journal of Shanghai Jiaotong University (Science). 27(1). 81–89. 1 indexed citations

13.

Li, Xiangkui, Jian Zhang, Wei Chen, et al.. (2021). Inter-patient automated arrhythmia classification: A new approach of weight capsule and sequence to sequence combination. Computer Methods and Programs in Biomedicine. 214. 106533–106533. 13 indexed citations

14.

Xiang, Wei, et al.. (2021). Design of an Online Detection System for COVID-19 based on Attention Mechanism. 5(1). 1 indexed citations

15.

Tao, Fenghua, Xiaoyan Tang, Hai Tao, et al.. (2020). Surgical treatment of diabetic foot ulcers during the COVID-19 pandemic in China. Journal of Diabetes and its Complications. 34(9). 107622–107622. 18 indexed citations

16.

Tian, Cheng, et al.. (2020). Research on Face Recognition Based on Improved Dropout Algorithm. 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC). 700–703. 2 indexed citations

17.

Xiang, Wei, et al.. (2019). ThunderNet: A Turbo Unified Network for Real-Time Semantic Segmentation. 1789–1796. 22 indexed citations

18.

Chen, Xiaofeng, et al.. (2019). Implementation of Tibetan-Chinese translation platform based on LSTM algorithm. 1–5. 1 indexed citations

19.

Gao, Shujing, et al.. (2017). Stochastic periodic solution for a perturbed non-autonomous predator–prey model with generalized nonlinear harvesting and impulses. Physica A Statistical Mechanics and its Applications. 486. 347–366. 16 indexed citations

20.

Xiang, Wei & Yunong Li. (2011). EXPERIMENTAL STUDY OF EFFECT OF PARTICLE SHAPES ON SHEAR STRENGTH OF SAND AND TIP RESISTANCE OF DRIVEN PILES. Chinese journal of rock mechanics and engineering. 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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