Yingnan Sun

1.1k total citations
18 papers, 675 citations indexed

About

Yingnan Sun is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Signal Processing. According to data from OpenAlex, Yingnan Sun has authored 18 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 4 papers in Signal Processing. Recurrent topics in Yingnan Sun's work include Nutritional Studies and Diet (4 papers), Biometric Identification and Security (3 papers) and Advanced Chemical Sensor Technologies (3 papers). Yingnan Sun is often cited by papers focused on Nutritional Studies and Diet (4 papers), Biometric Identification and Security (3 papers) and Advanced Chemical Sensor Technologies (3 papers). Yingnan Sun collaborates with scholars based in United Kingdom, China and Ghana. Yingnan Sun's co-authors include Benny Lo, Frank P.-W. Lo, Jianing Qiu, Guang‐Zhong Yang, Charence Wong, Shuo Jiang, Xiao Gu, Yao Guo, Matilda Steiner‐Asiedu and Zeyu Wang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Nutrients.

In The Last Decade

Yingnan Sun

18 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingnan Sun United Kingdom	11	199	175	158	142	133	18	675
Frank P.-W. Lo United Kingdom	16	236 1.2×	157 0.9×	208 1.3×	124 0.9×	186 1.4×	35	971
Paolo Ciampolini Italy	13	264 1.3×	13 0.1×	114 0.7×	173 1.2×	211 1.6×	48	820
Mobyen Uddin Ahmed Sweden	11	156 0.8×	58 0.3×	12 0.1×	78 0.5×	122 0.9×	41	643
Ani Nahapetian United States	16	101 0.5×	60 0.3×	6 0.0×	143 1.0×	159 1.2×	52	791
Stefan Oniga Hungary	13	145 0.7×	33 0.2×	6 0.0×	215 1.5×	285 2.1×	70	671
Abhinav Parate United States	7	63 0.3×	47 0.3×	11 0.1×	120 0.8×	132 1.0×	14	450
Amer Al‐Rahayfeh United States	9	36 0.2×	100 0.6×	13 0.1×	401 2.8×	82 0.6×	21	705
Ippei Suzuki Japan	15	42 0.2×	19 0.1×	29 0.2×	396 2.8×	189 1.4×	55	967
Min‐Chun Hu Taiwan	16	162 0.8×	83 0.5×	11 0.1×	29 0.2×	504 3.8×	92	950
Natheer Khasawneh Jordan	13	105 0.5×	102 0.6×	5 0.0×	29 0.2×	53 0.4×	30	809

Countries citing papers authored by Yingnan Sun

Since Specialization

Citations

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

Fields of papers citing papers by Yingnan Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingnan Sun

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

All Works

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18 of 18 papers shown

Lo, Frank P.-W., Jianing Qiu, Modou Lamin Jobarteh, et al.. (2024). AI-enabled wearable cameras for assisting dietary assessment in African populations. npj Digital Medicine. 7(1). 356–356. 6 indexed citations

Lo, Frank P.-W., Yao Guo, Yingnan Sun, Jianing Qiu, & Benny Lo. (2022). An Intelligent Vision-Based Nutritional Assessment Method for Handheld Food Items. IEEE Transactions on Multimedia. 25. 5840–5851. 7 indexed citations

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

Qiu, Jianing, Frank P.-W. Lo, Xiao Gu, et al.. (2021). Indoor Future Person Localization from an Egocentric Wearable Camera. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8586–8592. 4 indexed citations

Qiu, Jianing, et al.. (2020). Counting Bites and Recognizing Consumed Food from Videos for Passive Dietary Monitoring. IEEE Journal of Biomedical and Health Informatics. 25(5). 1471–1482. 21 indexed citations

Lo, Frank P.-W., Yingnan Sun, Jianing Qiu, & Benny Lo. (2020). Image-Based Food Classification and Volume Estimation for Dietary Assessment: A Review. IEEE Journal of Biomedical and Health Informatics. 24(7). 1926–1939. 89 indexed citations

Lo, Frank P.-W., Yingnan Sun, Jianing Qiu, & Benny Lo. (2019). Point2Volume: A Vision-Based Dietary Assessment Approach Using View Synthesis. IEEE Transactions on Industrial Informatics. 16(1). 577–586. 49 indexed citations

Sun, Yingnan, Frank P.-W. Lo, & Benny Lo. (2019). Security and Privacy for the Internet of Medical Things Enabled Healthcare Systems: A Survey. IEEE Access. 7. 183339–183355. 167 indexed citations

Sun, Yingnan, et al.. (2019). Internet of things based pervasive sensing of psychological anxiety via wearable devices under naturalistic settings. 20 (6 pp.)–20 (6 pp.). 1 indexed citations

10.

Lo, Frank P.-W., Yingnan Sun, & Benny Lo. (2019). Depth Estimation based on a Single Close-up Image with Volumetric Annotations in the Wild: A Pilot Study. Spiral (Imperial College London). 513–518. 7 indexed citations

11.

Lo, Frank P.-W., Yingnan Sun, Jianing Qiu, & Benny Lo. (2019). A Novel Vision-based Approach for Dietary Assessment using Deep Learning View Synthesis. Spiral (Imperial College London). 1–4. 16 indexed citations

12.

Sun, Yingnan, Frank P.-W. Lo, & Benny Lo. (2019). EEG-based user identification system using 1D-convolutional long short-term memory neural networks. Expert Systems with Applications. 125. 259–267. 138 indexed citations

13.

Sun, Yingnan, Frank P.-W. Lo, & Benny Lo. (2019). A Deep Learning Approach on Gender and Age Recognition using a Single Inertial Sensor. Spiral (Imperial College London). 1–4. 11 indexed citations

14.

Lo, Frank P.-W., Yingnan Sun, Jianing Qiu, & Benny Lo. (2018). Food Volume Estimation Based on Deep Learning View Synthesis from a Single Depth Map. Nutrients. 10(12). 2005–2005. 57 indexed citations

15.

Sun, Yingnan & Benny Lo. (2018). An Artificial Neural Network Framework for Gait-Based Biometrics. IEEE Journal of Biomedical and Health Informatics. 23(3). 987–998. 45 indexed citations

16.

Sun, Yingnan & Benny Lo. (2018). Random Number Generation Using Inertial Measurement Unit Signals for On-Body IoT Devices. Spiral (Imperial College London). 28 (9 pp.)–28 (9 pp.). 14 indexed citations

17.

Sun, Yingnan, Guang‐Zhong Yang, & Benny Lo. (2018). An artificial neural network framework for lower limb motion signal estimation with foot-mounted inertial sensors. 7 indexed citations

18.

Sun, Yingnan, Charence Wong, Guang‐Zhong Yang, & Benny Lo. (2017). Secure key generation using gait features for Body Sensor Networks. Spiral (Imperial College London). 206–210. 27 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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