Ziyun Ding

494 total citations
27 papers, 317 citations indexed

About

Ziyun Ding is a scholar working on Biomedical Engineering, Surgery and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Ziyun Ding has authored 27 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 8 papers in Surgery and 4 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Ziyun Ding's work include Muscle activation and electromyography studies (14 papers), Prosthetics and Rehabilitation Robotics (7 papers) and Knee injuries and reconstruction techniques (4 papers). Ziyun Ding is often cited by papers focused on Muscle activation and electromyography studies (14 papers), Prosthetics and Rehabilitation Robotics (7 papers) and Knee injuries and reconstruction techniques (4 papers). Ziyun Ding collaborates with scholars based in United Kingdom, China and United States. Ziyun Ding's co-authors include Anthony M. J. Bull, Daniel Nolte, Angela E. Kedgley, Alison H. McGregor, Bernard Hon, Daniel J. Cleather, Rui Xu, Rebecca Quest, Mary E. Finnegan and Hannah Jarvis and has published in prestigious journals such as PLoS ONE, IEEE Access and Journal of Biomechanics.

In The Last Decade

Ziyun Ding

22 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziyun Ding United Kingdom 11 223 127 47 23 23 27 317
Ursula Trinler Germany 10 214 1.0× 104 0.8× 60 1.3× 11 0.5× 12 0.5× 26 294
Jérôme Hausselle United States 9 158 0.7× 231 1.8× 62 1.3× 35 1.5× 24 1.0× 23 390
Nathalie Alexander Switzerland 12 294 1.3× 165 1.3× 120 2.6× 36 1.6× 28 1.2× 44 434
Chang-Wen Wang Japan 3 83 0.4× 137 1.1× 98 2.1× 26 1.1× 8 0.3× 6 367
Tomas A. Correa Australia 8 262 1.2× 175 1.4× 71 1.5× 13 0.6× 6 0.3× 12 360
Zsolt Knoll Hungary 7 174 0.8× 229 1.8× 106 2.3× 8 0.3× 18 0.8× 10 309
Massoud Akbarshahi Australia 6 313 1.4× 257 2.0× 135 2.9× 18 0.8× 36 1.6× 7 449
Georgios Giarmatzis Greece 8 117 0.5× 79 0.6× 56 1.2× 38 1.7× 5 0.2× 18 268
Fabio Santacaterina Italy 10 57 0.3× 90 0.7× 34 0.7× 14 0.6× 14 0.6× 33 219
Jia‐Hao Chang Taiwan 12 112 0.5× 165 1.3× 103 2.2× 55 2.4× 17 0.7× 48 404

Countries citing papers authored by Ziyun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ziyun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziyun Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Ziyun Ding. A scholar is included among the top collaborators of Ziyun Ding 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 Ziyun Ding. Ziyun Ding 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
1.
Zhou, Hui, et al.. (2025). Advancement in Graph Neural Networks for EEG Signal Analysis and Application: A Review. IEEE Access. 13. 50167–50187. 2 indexed citations
2.
Cai, Jinghao, et al.. (2025). Impact of Gait Parameters and Their Variability on Fall Risk Assessment Accuracy Using Wearable Sensor. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1996–2003.
3.
4.
Wang, Weida, et al.. (2025). TFNet: A Temporal-Frequency Domain Model for Gait Biomechanical Signal Prediction. IEEE Journal of Biomedical and Health Informatics. 29(10). 7080–7089.
5.
6.
Ding, Ziyun, et al.. (2025). Multi-task Learning for Gait Phase and Gait Cycle Percentage Prediction with Wearable Sensors in Frail Older Adults. IEEE Journal of Biomedical and Health Informatics. PP. 1–13.
7.
Ding, Ziyun, et al.. (2025). Alterations in Muscle Coordination to Reduce Knee Joint Loading for People with Limb Loss. Annals of Biomedical Engineering. 53(4). 935–945. 1 indexed citations
8.
Tian, Hua, Shihao Tang, Ziyun Ding, et al.. (2025). High resolution photoacoustic vascular image reconstruction through the fast residual dense generative adversarial network. Photoacoustics. 43. 100720–100720.
9.
Deshmukh, S. C., et al.. (2024). Biomechanical analysis of combi-hole locking compression plate during fracture healing: A numerical study of screw configuration. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 238(3). 313–323. 2 indexed citations
10.
Castellani, Marco, et al.. (2024). Gait Intention Prediction Using a Lower-Limb Musculoskeletal Model and Long Short-Term Memory Neural Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 822–830. 5 indexed citations
11.
Ding, Ziyun, et al.. (2023). The effect of muscle atrophy in people with unilateral transtibial amputation for three activities: Gait alone does not tell the whole story. Journal of Biomechanics. 149. 111484–111484. 7 indexed citations
12.
Ding, Ziyun, Peter Le Feuvre, Mary E. Finnegan, et al.. (2021). Understanding lower limb muscle volume adaptations to amputation. Journal of Biomechanics. 125. 110599–110599. 17 indexed citations
13.
Ding, Ziyun, Hannah Jarvis, Alexander N. Bennett, Richard Baker, & Anthony M. J. Bull. (2020). Higher knee contact forces might underlie increased osteoarthritis rates in high functioning amputees: A pilot study. Journal of Orthopaedic Research®. 39(4). 850–860. 21 indexed citations
14.
Ding, Ziyun, et al.. (2019). Improving Musculoskeletal Model Scaling Using an Anatomical Atlas: The Importance of Gender and Anthropometric Similarity to Quantify Joint Reaction Forces. IEEE Transactions on Biomedical Engineering. 66(12). 3444–3456. 28 indexed citations
15.
Xu, Rui, Dong Ming, Ziyun Ding, & Anthony M. J. Bull. (2019). Extra excitation of biceps femoris during neuromuscular electrical stimulation reduces knee medial loading. Royal Society Open Science. 6(3). 181545–181545. 4 indexed citations
16.
Klemt, Christian, Daniel Nolte, Ziyun Ding, et al.. (2019). Anthropometric Scaling of Anatomical Datasets for Subject-Specific Musculoskeletal Modelling of the Shoulder. Annals of Biomedical Engineering. 47(4). 924–936. 19 indexed citations
17.
Ding, Ziyun, et al.. (2018). Validation and Use of a Musculoskeletal Gait Model to Study the Role of Functional Electrical Stimulation. IEEE Transactions on Biomedical Engineering. 66(3). 892–897. 10 indexed citations
18.
19.
Ding, Ziyun, et al.. (2018). Deep Learning for Musculoskeletal Force Prediction. Annals of Biomedical Engineering. 47(3). 778–789. 57 indexed citations
20.
Nolte, Daniel, et al.. (2016). Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models. Journal of Biomechanics. 49(14). 3576–3581. 32 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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2026