Jun Qi

2.7k total citations · 2 hit papers
71 papers, 1.9k citations indexed

About

Jun Qi is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Jun Qi has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 18 papers in Biomedical Engineering and 14 papers in Computer Networks and Communications. Recurrent topics in Jun Qi's work include Context-Aware Activity Recognition Systems (16 papers), Non-Invasive Vital Sign Monitoring (13 papers) and IoT and Edge/Fog Computing (11 papers). Jun Qi is often cited by papers focused on Context-Aware Activity Recognition Systems (16 papers), Non-Invasive Vital Sign Monitoring (13 papers) and IoT and Edge/Fog Computing (11 papers). Jun Qi collaborates with scholars based in China, United Kingdom and United States. Jun Qi's co-authors include Po Yang, Yun Yang, Zhihan Lv, Xulong Wang, Jing Liu, Feng Dong, Lida Xu, Oliver Amft, Geyong Min and Zhikun Deng and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Jun Qi

58 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data

2019 510 citations Po Yang, Jing Liu et al. profile →
Advanced internet of things for personalised healthcare systems: A survey

2017 269 citations Jun Qi, Po Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Qi China	17	611	501	433	310	238	71	1.9k
Eftim Zdravevski North Macedonia	24	362 0.6×	537 1.1×	388 0.9×	316 1.0×	162 0.7×	129	2.0k
Ivan Miguel Pires Portugal	23	298 0.5×	488 1.0×	390 0.9×	302 1.0×	154 0.6×	156	1.9k
Dac‐Nhuong Le Vietnam	23	480 0.8×	351 0.7×	331 0.8×	193 0.6×	253 1.1×	111	1.7k
Oana Geman Romania	20	360 0.6×	289 0.6×	412 1.0×	285 0.9×	223 0.9×	102	1.8k
Nuno M. García Portugal	26	407 0.7×	588 1.2×	611 1.4×	450 1.5×	253 1.1×	164	2.4k
Md. Golam Rabiul Alam Bangladesh	22	558 0.9×	392 0.8×	768 1.8×	155 0.5×	379 1.6×	199	2.4k
Mohammed A. Al Ghamdi Saudi Arabia	22	377 0.6×	355 0.7×	335 0.8×	161 0.5×	287 1.2×	102	1.8k
Kwok Tai Chui Hong Kong	22	488 0.8×	295 0.6×	374 0.9×	125 0.4×	215 0.9×	170	1.9k
S. Baskar India	22	384 0.6×	320 0.6×	440 1.0×	157 0.5×	316 1.3×	72	1.6k
Henry Friday Nweke Nigeria	16	858 1.4×	738 1.5×	296 0.7×	366 1.2×	193 0.8×	24	2.0k

Countries citing papers authored by Jun Qi

Since Specialization

Citations

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

Fields of papers citing papers by Jun Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Qi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Mingliang, et al.. (2025). Background suppression and comprehensive prototype pyramid distillation for few-shot object detection. Robotics and Autonomous Systems. 187. 104938–104938. 1 indexed citations

Yang, Yun, et al.. (2025). Joint image synthesis and fusion with converted features for Alzheimer’s disease diagnosis. Engineering Applications of Artificial Intelligence. 156. 111102–111102.

Qi, Jun, et al.. (2025). DistilCLIP-EEG: Enhancing Epileptic Seizure Detection Through Multi-modal Learning and Knowledge Distillation. IEEE Journal of Biomedical and Health Informatics. PP. 1–12.

Qi, Jun, et al.. (2024). Depression Detection with EEG Based on Mutual Information Regularization. 1029–1035.

Li, Hongyu, Meng Yang, Weiliang Meng, et al.. (2024). Soccer match broadcast video analysis method based on detection and tracking. Computer Animation and Virtual Worlds. 35(3). 10 indexed citations

Wang, Xulong, Jun Qi, Yun Yang, et al.. (2024). Selecting and Evaluating Key MDS-UPDRS Activities Using Wearable Devices for Parkinson's Disease Self-Assessment. ODU Digital Commons (Old Dominion University). 1. 177–189. 7 indexed citations

Lisitsa, Alexei, et al.. (2024). Multi-Instance Learning for Parkinson’s Tremor Level Detection with Learnable Discriminative Pool. 6008–6015. 1 indexed citations

Wang, Xulong, et al.. (2023). Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer’s Disease Progression using MRI Data. 940–943. 7 indexed citations

Qi, Jun, et al.. (2022). Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. IEEE Internet of Things Journal. 10(8). 6742–6755. 5 indexed citations

10.

Wang, Jiayu, et al.. (2022). A Multi-Classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(4). 559–572. 10 indexed citations

11.

Li, Jiajia, Jie Chen, Bin Sheng, et al.. (2021). Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network. IEEE Transactions on Industrial Informatics. 18(1). 163–173. 163 indexed citations

12.

Wu, Tao, et al.. (2021). Automatic classification of EEG signals via deep learning. 175. 1–6. 2 indexed citations

13.

Pang, Zhen, Xiang Wang, Xulong Wang, et al.. (2021). A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer’s Disease Using Machine Learning Methods. Mobile Networks and Applications. 26(6). 2341–2352. 14 indexed citations

14.

Xiong, Huiwen, Xin Ye, Yang Li, et al.. (2021). Efficient Microfluidic-Based Air Sampling/Monitoring Platform for Detection of Aerosol SARS-CoV-2 On-site. Analytical Chemistry. 93(9). 4270–4276. 47 indexed citations

15.

Yang, Po, Jun Qi, Shuhao Zhang, et al.. (2020). Feasibility study of mitigation and suppression strategies for controlling COVID-19 outbreaks in London and Wuhan. PLoS ONE. 15(8). e0236857–e0236857. 30 indexed citations

16.

Cao, Bin, Jianwei Zhao, Po Yang, et al.. (2019). Multiobjective feature selection for microarray data via distributed parallel algorithms. Future Generation Computer Systems. 100. 952–981. 24 indexed citations

17.

Yang, Po, Geng Yang, Jing Liu, et al.. (2019). DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. IEEE Transactions on Industrial Informatics. 16(8). 5317–5326. 7 indexed citations

18.

Fan, Dayong, Jiachen Yang, Junbao Zhang, et al.. (2018). Effectively Measuring Respiratory Flow With Portable Pressure Data Using Back Propagation Neural Network. IEEE Journal of Translational Engineering in Health and Medicine. 6. 1–12. 61 indexed citations

19.

Qi, Jun, Po Yang, Atif Waraich, et al.. (2018). Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review. Journal of Biomedical Informatics. 87. 138–153. 140 indexed citations

20.

Qi, Jun, et al.. (2017). GPU accelerated Foreign Object Debris Detection on Airfield Pavement with visual saliency algorithm. Journal of Physics Conference Series. 787. 12018–12018. 2 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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