Shu‐Ling Cheng

649 total citations
18 papers, 493 citations indexed

About

Shu‐Ling Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Shu‐Ling Cheng has authored 18 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Shu‐Ling Cheng's work include Robotic Path Planning Algorithms (3 papers), Augmented Reality Applications (3 papers) and Robotics and Sensor-Based Localization (3 papers). Shu‐Ling Cheng is often cited by papers focused on Robotic Path Planning Algorithms (3 papers), Augmented Reality Applications (3 papers) and Robotics and Sensor-Based Localization (3 papers). Shu‐Ling Cheng collaborates with scholars based in Taiwan, China and Sweden. Shu‐Ling Cheng's co-authors include Lei‐Yu Wu, Po-Yuan Chen, Kuan-Yang Chen, Hae‐Ching Chang, Jyh-Horng Jeng, Jer‐Guang Hsieh, Yih-Lon Lin, Chien‐Hua Chen, Chun-Hsu Ko and Chien‐Hua Chen and has published in prestigious journals such as Journal of Business Research, Journal of Clinical Nursing and International Journal of Medical Informatics.

In The Last Decade

Shu‐Ling Cheng

17 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu‐Ling Cheng Taiwan 7 226 214 158 133 52 18 493
Muhammad Muazzem Hossain United States 8 142 0.6× 163 0.8× 212 1.3× 64 0.5× 33 0.6× 19 467
Nassim Dehouche Thailand 6 215 1.0× 238 1.1× 146 0.9× 74 0.6× 21 0.4× 14 612
Jin Ki Kim South Korea 10 138 0.6× 290 1.4× 179 1.1× 85 0.6× 34 0.7× 31 530
Muhammad Kashif Javed Pakistan 6 178 0.8× 161 0.8× 153 1.0× 114 0.9× 18 0.3× 19 406
Robert G. Brookshire United States 11 106 0.5× 268 1.3× 190 1.2× 53 0.4× 28 0.5× 28 531
Ki-Hun Kim South Korea 9 167 0.7× 100 0.5× 98 0.6× 90 0.7× 35 0.7× 21 462
Yu‐Wei Chang Taiwan 12 167 0.7× 190 0.9× 241 1.5× 59 0.4× 63 1.2× 31 518
Huijun Yang Macao 16 184 0.8× 336 1.6× 105 0.7× 97 0.7× 23 0.4× 38 701
Anas Aloudat Australia 11 39 0.2× 157 0.7× 166 1.1× 36 0.3× 17 0.3× 29 420

Countries citing papers authored by Shu‐Ling Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Ling Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Ling Cheng. 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 Shu‐Ling Cheng. The network helps show where Shu‐Ling Cheng may publish in the future.

Co-authorship network of co-authors of Shu‐Ling Cheng

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

All Works

18 of 18 papers shown
1.
Cheng, Shu‐Ling, et al.. (2024). FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11498–11506. 1 indexed citations
2.
Wu, Hong‐Wei, et al.. (2021). Switchable directional scattering based on spoof core–shell plasmonic structures. Chinese Physics B. 31(5). 54101–54101.
3.
Chen, Chien‐Hua, et al.. (2020). Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data. International Journal of Medical Informatics. 139. 104146–104146. 25 indexed citations
4.
Chen, Chien‐Hua, et al.. (2020). Robust Multi-Class Classification Using Linearly Scored Categorical Cross-Entropy. 200–203. 15 indexed citations
5.
Chen, Chien‐Hua, et al.. (2020). Early short-term prediction of emergency department length of stay using natural language processing for low-acuity outpatients. The American Journal of Emergency Medicine. 38(11). 2368–2373. 19 indexed citations
6.
Cheng, Shu‐Ling, et al.. (2020). Development of a Comfort-Based Motion Guidance System for a Robot Walking Helper. Journal of Intelligent & Robotic Systems. 100(2). 379–388. 4 indexed citations
7.
Young, Kuu‐Young, et al.. (2020). A novel teaching and training system for industrial applications based on augmented reality. Journal of the Chinese Institute of Engineers. 43(8). 796–806. 5 indexed citations
8.
Cheng, Shu‐Ling, et al.. (2019). Development of an Effective 3D VR-Based Manipulation System for Industrial Robot Manipulators. Asian Control Conference. 890–894. 3 indexed citations
9.
Cheng, Shu‐Ling, et al.. (2018). Development of a 3D AR-Based Interface for Industrial Robot Manipulators. 1809–1814. 10 indexed citations
10.
Ko, Chun-Hsu, et al.. (2017). An AR-Based Manipulation System for Industrial Robots. 6 indexed citations
11.
Cheng, Mei, Shu‐Ling Cheng, Qing Zhang, et al.. (2014). The effect of continuous nursing intervention guided by chronotherapeutics on ambulatory blood pressure of older hypertensive patients in the community. Journal of Clinical Nursing. 23(15-16). 2247–2255. 4 indexed citations
12.
Cheng, Shu‐Ling, et al.. (2014). Continuity of Care for Older Adults with Chronic Illness in China: An Exploratory Study. Public Health Nursing. 32(4). 298–306. 6 indexed citations
13.
Zang, Xiaoying, Hua Zhang, Shu‐Ling Cheng, et al.. (2012). Pivotal factors interfering in 24‐hour blood pressure fluctuation and arterial stiffness in a community of Chinese elderly hypertensive patients. Journal of Clinical Nursing. 22(3-4). 379–388. 2 indexed citations
14.
Wu, Lei‐Yu, Kuan-Yang Chen, Po-Yuan Chen, & Shu‐Ling Cheng. (2012). Perceived value, transaction cost, and repurchase-intention in online shopping: A relational exchange perspective. Journal of Business Research. 67(1). 2768–2776. 351 indexed citations
15.
Cheng, Shu‐Ling. (2010). Intelligent cognition‐based systems approach to multiple‐criteria computerized essay assessment. Systems Research and Behavioral Science. 27(6). 680–696. 4 indexed citations
16.
Cheng, Shu‐Ling & Hae‐Ching Chang. (2009). Cognitive complexity implications for research on sustainable competitive advantage. Journal of Business Research. 63(1). 67–70. 15 indexed citations
17.
Cheng, Shu‐Ling & Hae‐Ching Chang. (2009). Performance implications of cognitive complexity: An empirical study of cognitive strategic groups in semiconductor industry. Journal of Business Research. 62(12). 1311–1320. 22 indexed citations
18.
Yang, Lin, Shanshan Yin, Shu‐Ling Cheng, et al.. (2005). [Clinical study of feiyanqing rectum condensed liquid in treating 36 cases of children syncytial viral pneumonia].. PubMed. 25(10). 895–8. 1 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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