Kai Du

864 total citations
27 papers, 566 citations indexed

About

Kai Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Kai Du has authored 27 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in Kai Du's work include Video Surveillance and Tracking Methods (5 papers), Neural dynamics and brain function (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Kai Du is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Neural dynamics and brain function (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Kai Du collaborates with scholars based in China, Sweden and United States. Kai Du's co-authors include Gang Li, Yongfeng Ju, Jeanette Hellgren Kotaleski, Laurent Venance, Teresa Morera‐Herreras, Sylvie Pérez, Vincent Paillé, Élodie Fino, Balázs Rózsa and Yu Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Bioinformatics.

In The Last Decade

Kai Du

24 papers receiving 555 citations

Peers

Kai Du

CSE

CMN

CVPR

Haiyun Huang China

Miriam Zacksenhouse Israel

Yun Hwa Hong South Korea

Qiping Yu United States

Ramazan Teki̇n Türkiye

Hongxin Wang China

Zhongming Liu China

Amin Hosseini Iran

Justin Manzo United States

Haiyun Huang China

Kai Du

42 ×0.2

CSE

72 ×0.4

CMN

404 ×3.0

39 ×0.5

CVPR

45 ×0.8

Citations per year, relative to Kai Du Kai Du (= 1×) peers Haiyun Huang

Countries citing papers authored by Kai Du

Since Specialization

Citations

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

Fields of papers citing papers by Kai Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Du

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Du. A scholar is included among the top collaborators of Kai Du 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 Kai Du. Kai Du 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

Du, Kai, et al.. (2026). Artificial Intelligence-Enhanced Wearable Blood Pressure Monitoring in Resource-Limited Settings: A Co-Design of Sensors, Model, and Deployment. Nano-Micro Letters. 18(1). 164–164.

Du, Kai, et al.. (2025). Traffic prediction in time series, spatialtemporal, and OD data: A systematic survey. Journal of Traffic and Transportation Engineering (English Edition). 12(3). 666–700. 1 indexed citations

Du, Kai, Jing Li, Zhiyi Huang, et al.. (2024). A Non-Invasive Blood Glucose Detection System Based on Photoplethysmogram With Multiple Near-Infrared Sensors. IEEE Journal of Biomedical and Health Informatics. 29(4). 2496–2505.

Du, Kai, Jianfeng Wang, Jiaojiao Wu, & Yunling Wang. (2024). Scalable Equi-Join Queries over Encrypted Database. 4002–4016. 2 indexed citations

Zhang, Yichen, Kai Du, & Tiejun Huang. (2023). Heuristic Tree-Partition-Based Parallel Method for Biophysically Detailed Neuron Simulation. Neural Computation. 35(4). 627–644. 1 indexed citations

Li, Xuyang, Jianwu Fang, Kai Du, & Jianru Xue. (2023). Group UAV Navigation by Qualifying Human-Machine Decisions in Hybrid Reinforcement Learning. 4238–4243. 1 indexed citations

Du, Kai, Лей Ма, Fang Fang, et al.. (2023). PS-Net: human perception-guided segmentation network for EM cell membrane. Bioinformatics. 39(8). 1 indexed citations

Du, Kai, et al.. (2023). Counterfactual Graph Transformer for Traffic Flow Prediction. 521–527. 1 indexed citations

Lu, Guoming, et al.. (2023). AInvR: Adaptive Learning Rewards for Knowledge Graph Reasoning Using Agent Trajectories. Tsinghua Science & Technology. 28(6). 1101–1114. 2 indexed citations

10.

Liu, Xiaofei, et al.. (2022). Siamese Network-Based All-Purpose-Tracker, a Model-Free Deep Learning Tool for Animal Behavioral Tracking. Frontiers in Behavioral Neuroscience. 16. 759943–759943. 2 indexed citations

11.

Li, Zhixuan, et al.. (2022). U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms. Frontiers in Computational Neuroscience. 16. 842760–842760. 1 indexed citations

12.

Song, Yongchao, et al.. (2020). Automatic Detection and Classification of Road, Car, and Pedestrian Using Binocular Cameras in Traffic Scenes with a Common Framework. Complexity. 2020. 1–17. 10 indexed citations

13.

Song, Yongchao, et al.. (2018). Online Road Detection under a Shadowy Traffic Image Using a Learning-Based Illumination-Independent Image. Symmetry. 10(12). 707–707. 5 indexed citations

14.

Du, Kai, Daniel Keller, Maya Ketzef, et al.. (2018). Basal Ganglia Neuromodulation Over Multiple Temporal and Structural Scales—Simulations of Direct Pathway MSNs Investigate the Fast Onset of Dopaminergic Effects and Predict the Role of Kv4.2. Frontiers in Neural Circuits. 12. 3–3. 25 indexed citations

15.

Li, Gang, et al.. (2017). Recognition and evaluation of bridge cracks with modified active contour model and greedy search-based support vector machine. Automation in Construction. 78. 51–61. 123 indexed citations

16.

Paillé, Vincent, Élodie Fino, Kai Du, et al.. (2013). GABAergic Circuits Control Spike-Timing-Dependent Plasticity. Journal of Neuroscience. 33(22). 9353–9363. 97 indexed citations

17.

Li, Gang, et al.. (2013). Long-distance precision inspection method for bridge cracks with image processing. Automation in Construction. 41. 83–95. 93 indexed citations

18.

Du, Kai, et al.. (2012). Object tracking based on improved MeanShift and SIFT. 2716–2719. 16 indexed citations

19.

Du, Kai, et al.. (2012). MeanShift tracking algorithm with adaptive block color histogram. 2692–2695. 11 indexed citations

20.

Evans, Rebekah C., Teresa Morera‐Herreras, Yihui Cui, et al.. (2012). The Effects of NMDA Subunit Composition on Calcium Influx and Spike Timing-Dependent Plasticity in Striatal Medium Spiny Neurons. PLoS Computational Biology. 8(4). e1002493–e1002493. 45 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.

Explore authors with similar magnitude of impact