Chao Lian

820 total citations
61 papers, 547 citations indexed

About

Chao Lian is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Ecology. According to data from OpenAlex, Chao Lian has authored 61 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 12 papers in Human-Computer Interaction and 10 papers in Ecology. Recurrent topics in Chao Lian's work include Hand Gesture Recognition Systems (12 papers), Context-Aware Activity Recognition Systems (9 papers) and Human Pose and Action Recognition (8 papers). Chao Lian is often cited by papers focused on Hand Gesture Recognition Systems (12 papers), Context-Aware Activity Recognition Systems (9 papers) and Human Pose and Action Recognition (8 papers). Chao Lian collaborates with scholars based in China, Hong Kong and Japan. Chao Lian's co-authors include Taizo Hogetsu, Yuliang Zhao, Wen J. Li, Peng Shan, Shigeru Itakura, Xiaopeng Sha, Jian Li, Yukihiko Matsuyama, Bingyun Wu and Md. Sajedul Islam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Chao Lian

55 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chao Lian China	14	127	116	106	97	68	61	547
Yaohua Hu China	15	141 1.1×	128 1.1×	19 0.2×	131 1.4×	34 0.5×	42	750
Ahmad Salman Pakistan	14	320 2.5×	126 1.1×	58 0.5×	256 2.6×	39 0.6×	41	1.2k
Nils Napp United States	15	92 0.7×	36 0.3×	27 0.3×	38 0.4×	5 0.1×	48	716
Sanjoy Das India	15	42 0.3×	19 0.2×	24 0.2×	50 0.5×	12 0.2×	71	832
Yolanda González-Cid Spain	12	206 1.6×	47 0.4×	84 0.8×	22 0.2×	5 0.1×	42	553
Richard Verhoeven Netherlands	12	87 0.7×	56 0.5×	43 0.4×	30 0.3×	4 0.1×	45	589
Mohd Shahrimie Mohd Asaari Malaysia	11	200 1.6×	303 2.6×	5 0.0×	32 0.3×	63 0.9×	27	943
Carolina Galleguillos Chile	14	1.0k 8.1×	37 0.3×	11 0.1×	81 0.8×	25 0.4×	21	1.5k
Meng-Che Chuang United States	11	211 1.7×	32 0.3×	24 0.2×	73 0.8×	23 0.3×	13	504
Ross Mead United States	13	129 1.0×	24 0.2×	6 0.1×	16 0.2×	91 1.3×	51	632

Countries citing papers authored by Chao Lian

Since Specialization

Citations

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

Fields of papers citing papers by Chao Lian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Lian

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

Zhao, Yuliang, Huawei Zhang, Zhicheng Zhou, et al.. (2025). Disease and personality information enhanced depression detection based on the TransGCL framework. Neurocomputing. 654. 131160–131160.

Lian, Chao, et al.. (2025). MVFusion-TSC: A multi-view fusion image-based network for time series classification. Information Fusion. 125. 103458–103458.

Lian, Chao, et al.. (2025). TDI-TFFNet: Infusing time dependent images and two-stream feature fusion network for gymnastic activity recognition. Pattern Recognition. 172. 112726–112726.

Lian, Chao, et al.. (2025). Incorporating image representation and texture feature for sensor-based gymnastics activity recognition. Knowledge-Based Systems. 311. 113076–113076. 4 indexed citations

Yang, Mingliang, Chao Lian, Yuliang Zhao, et al.. (2025). A multi-sensor fusion approach for centimeter-level indoor 3D localization of wheeled robots. Measurement Science and Technology. 36(4). 46304–46304. 1 indexed citations

Guo, Cheng, Raffaele Persico, Yajie Liu, et al.. (2025). Adaptive Variational Mode Decomposition and Principal Component Analysis-Based Denoising Scheme for Borehole Radar Data. Remote Sensing. 17(3). 525–525. 1 indexed citations

Lian, Chao, et al.. (2025). Skeletal joint image-based multi-channel fusion network for human activity recognition. Knowledge-Based Systems. 315. 113232–113232. 1 indexed citations

Zhao, Yuliang, Huawei Zhang, Wen J. Li, et al.. (2025). AI-Enhanced Electrochemical Sensing Systems: A Paradigm Shift for Intelligent Food Safety Monitoring. Biosensors. 15(9). 565–565. 6 indexed citations

Zhao, Yuliang, et al.. (2024). CIR-DFENet: Incorporating cross-modal image representation and dual-stream feature enhanced network for activity recognition. Expert Systems with Applications. 266. 125912–125912. 10 indexed citations

10.

Lian, Chao, et al.. (2024). A New Time Series Data Imaging Scheme for Mechanical Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 7 indexed citations

11.

Li, Jian, et al.. (2024). AI scheme for high-accuracy and contactless assessment of Parkinson’s disease grades. Biomedical Signal Processing and Control. 100. 107025–107025. 2 indexed citations

12.

Zhao, Yuliang, et al.. (2023). Infusing a Convolutional Neural Network with Encoded Joint Node Image Data to Recognize 25 Daily Human Activities. SHILAP Revista de lepidopterología. 5(11). 2 indexed citations

13.

Zhao, Yuliang, et al.. (2023). Infusing a Convolutional Neural Network with Encoded Joint Node Image Data to Recognize 25 Daily Human Activities. Advanced Intelligent Systems. 5(11). 5 indexed citations

14.

Zhao, Yuliang, Jian Li, Xiaoai Wang, et al.. (2023). Global joint information extraction convolution neural network for Parkinson’s disease diagnosis. Expert Systems with Applications. 243. 122837–122837. 9 indexed citations

15.

Zhao, Yuliang, Chao Lian, Jian Li, et al.. (2023). MobileSAM-Track: Lightweight One-Shot Tracking and Segmentation of Small Objects on Edge Devices. Remote Sensing. 15(24). 5665–5665. 10 indexed citations

16.

Zhao, Yuliang, et al.. (2022). A Smart Wireless IoT Ring for Real-Time Keystroke Recognition Using Edge Computing. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 2 indexed citations

17.

Zhao, Yuliang, Xinyue Zhang, Qingchao Zhang, et al.. (2022). Shooting Prediction Based on Vision Sensors and Trajectory Learning. Applied Sciences. 12(19). 10115–10115. 2 indexed citations

18.

Li, Peng, et al.. (2008). Independent control of active and reactive power of the grid-connected inverter. International Conference on Electrical Machines and Systems. 2493–2496. 2 indexed citations

19.

Nishitani, Goh, Satoshi Nagai, Setsuko Sakamoto, et al.. (2007). Development of compound microsatellite markers in the harmful dinoflagellate Cochlodinium polykrikoides (Dinophyceae). Molecular Ecology Notes. 7(5). 827–829. 7 indexed citations

20.

Wadud, Abdul, Chao Lian, Kazuhide Nara, & Taizo Hogetsu. (2006). Isolation and characterization of five microsatellite loci in an ectomycorrhizal fungus Laccaria laccata. Molecular Ecology Notes. 6(3). 700–702. 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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