Benny Lo

12.0k total citations · 3 hit papers
223 papers, 8.0k citations indexed

About

Benny Lo is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Benny Lo has authored 223 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Biomedical Engineering, 76 papers in Computer Vision and Pattern Recognition and 41 papers in Surgery. Recurrent topics in Benny Lo's work include Context-Aware Activity Recognition Systems (36 papers), Non-Invasive Vital Sign Monitoring (33 papers) and Surgical Simulation and Training (22 papers). Benny Lo is often cited by papers focused on Context-Aware Activity Recognition Systems (36 papers), Non-Invasive Vital Sign Monitoring (33 papers) and Surgical Simulation and Training (22 papers). Benny Lo collaborates with scholars based in United Kingdom, China and United States. Benny Lo's co-authors include Guang‐Zhong Yang, Charence Wong, Daniele Ravì, Louis Atallah, Frank P.-W. Lo, Yingnan Sun, Fani Deligianni, Melissa Berthelot, Javier Andreu-Pérez and Rachel King and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and Carbon.

In The Last Decade

Benny Lo

219 papers receiving 7.7k citations

Hit Papers

Deep Learning for Health Informatics 2014 2026 2018 2022 2016 2014 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benny Lo United Kingdom 42 3.2k 2.3k 1.2k 929 877 223 8.0k
Bjoern M. Eskofier Germany 39 2.9k 0.9× 1.3k 0.5× 930 0.8× 492 0.5× 841 1.0× 416 7.9k
Zeng‐Guang Hou China 54 2.1k 0.7× 1.7k 0.7× 1.1k 0.9× 3.2k 3.4× 1.0k 1.2× 430 10.4k
Constantinos S. Pattichis Cyprus 43 1.3k 0.4× 1.6k 0.7× 1.0k 0.9× 368 0.4× 494 0.6× 354 6.4k
Wenyao Xu United States 38 1.9k 0.6× 1.3k 0.6× 710 0.6× 821 0.9× 597 0.7× 276 5.7k
Branko G. Celler Australia 38 2.6k 0.8× 2.2k 0.9× 488 0.4× 724 0.8× 353 0.4× 256 6.6k
Paolo Bonato United States 49 5.4k 1.7× 1.1k 0.5× 289 0.2× 688 0.7× 1.9k 2.1× 246 11.1k
Chris Nugent United Kingdom 42 1.0k 0.3× 3.9k 1.7× 1.4k 1.1× 1.8k 1.9× 361 0.4× 445 8.1k
Parisa Rashidi United States 32 644 0.2× 2.0k 0.9× 1.6k 1.3× 971 1.0× 198 0.2× 144 6.3k
David A. Clifton United Kingdom 42 2.7k 0.9× 568 0.2× 2.2k 1.8× 424 0.5× 459 0.5× 250 7.7k
T. Tamura Japan 45 3.0k 0.9× 1.3k 0.6× 327 0.3× 274 0.3× 686 0.8× 362 7.5k

Countries citing papers authored by Benny Lo

Since Specialization
Citations

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

Fields of papers citing papers by Benny Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benny Lo

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

All Works

20 of 20 papers shown
2.
Qiu, Jianing, Jiankai Sun, Peilun Shi, et al.. (2023). Large AI Models in Health Informatics: Applications, Challenges, and the Future. IEEE Journal of Biomedical and Health Informatics. 27(12). 6074–6087. 111 indexed citations
3.
Bai, Weibang, et al.. (2023). Modified Bilateral Active Estimation Model: A Learning-Based Solution to the Time Delay Problem in Robotic Tele-Control. IEEE Robotics and Automation Letters. 8(5). 2653–2660. 6 indexed citations
4.
Lo, Benny, et al.. (2023). Federated Blockchain Learning at the Edge. Information. 14(6). 318–318. 2 indexed citations
5.
Qiu, Jianing, Frank P.-W. Lo, Xiao Gu, et al.. (2023). Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring. IEEE Transactions on Cybernetics. 54(2). 679–692. 15 indexed citations
6.
Rosa, Bruno M. G., et al.. (2022). Smart implanted access port catheter for therapy intervention with pH and lactate biosensors. Materials Today Bio. 15. 100298–100298. 14 indexed citations
7.
Li, Yamei, et al.. (2022). Adversarial learning for semi-supervised pediatric sleep staging with single-EEG channel. Methods. 204. 84–91. 21 indexed citations
8.
Qiu, Jianing, Lipeng Chen, Xiao Gu, et al.. (2022). Egocentric Human Trajectory Forecasting With a Wearable Camera and Multi-Modal Fusion. IEEE Robotics and Automation Letters. 7(4). 8799–8806. 9 indexed citations
9.
Chen, Chen, Xiangyu Liu, Wei Yuan, et al.. (2022). Real-Time and Cost-Effective Smart Mat System Based on Frequency Channel Selection for Sleep Posture Recognition in IoMT. IEEE Internet of Things Journal. 9(21). 21421–21431. 8 indexed citations
10.
Wang, Zeyu, Enrico Franco, James Avery, et al.. (2022). Current Engineering Developments for Robotic Systems in Flexible Endoscopy. Techniques and Innovations in Gastrointestinal Endoscopy. 25(1). 67–81. 9 indexed citations
11.
Li, Yamei, et al.. (2022). MtCLSS: Multi-Task Contrastive Learning for Semi-Supervised Pediatric Sleep Staging. IEEE Journal of Biomedical and Health Informatics. 27(6). 2647–2655. 19 indexed citations
12.
Jia, Wenyan, Boyang Li, Zhi‐Hong Mao, et al.. (2022). A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation. Sensors. 22(4). 1493–1493. 11 indexed citations
13.
Jiang, Shuo, Peiqi Kang, Xinyu Song, Benny Lo, & Peter B. Shull. (2021). Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey. IEEE Reviews in Biomedical Engineering. 15. 85–102. 161 indexed citations
14.
Sun, Yingnan, Frank P.-W. Lo, & Benny Lo. (2021). Lightweight Internet of Things Device Authentication, Encryption, and Key Distribution Using End-to-End Neural Cryptosystems. IEEE Internet of Things Journal. 9(16). 14978–14987. 9 indexed citations
15.
Jiang, Shuo, et al.. (2020). Subject-Independent Slow Fall Detection with Wearable Sensors via Deep Learning. Spiral (Imperial College London). 1–4. 13 indexed citations
16.
Zhang, Gaobo, Zhen Mei, Yuan Zhang, et al.. (2020). A Noninvasive Blood Glucose Monitoring System Based on Smartphone PPG Signal Processing and Machine Learning. IEEE Transactions on Industrial Informatics. 16(11). 7209–7218. 107 indexed citations
17.
Zhang, Yuwei, Yuan Zhang, Benny Lo, & Wenyao Xu. (2019). Wearable ECG signal processing for automated cardiac arrhythmia classification using CFASE‐based feature selection. Expert Systems. 37(1). 18 indexed citations
18.
Kwasnicki, Richard M., et al.. (2019). Tissue Oxygenation Sensor and an ActiveIn VitroPhantom for Sensor Validation. IEEE Sensors Journal. 19(18). 8233–8240. 9 indexed citations
19.
Zhang, Yuan, Yao Guo, Po Yang, Wei Chen, & Benny Lo. (2019). Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network. IEEE Journal of Biomedical and Health Informatics. 24(2). 465–474. 212 indexed citations
20.
Laerhoven, Kristof Van, Benny Lo, Jason Ng, et al.. (2004). Medical Healthcare Monitoring with Wearable and Implantable Sensors. Max Planck Digital Library. 68 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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