Keke Geng

657 total citations
45 papers, 443 citations indexed

About

Keke Geng is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Keke Geng has authored 45 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 17 papers in Automotive Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Keke Geng's work include Autonomous Vehicle Technology and Safety (12 papers), Vehicle Dynamics and Control Systems (8 papers) and Advanced Neural Network Applications (8 papers). Keke Geng is often cited by papers focused on Autonomous Vehicle Technology and Safety (12 papers), Vehicle Dynamics and Control Systems (8 papers) and Advanced Neural Network Applications (8 papers). Keke Geng collaborates with scholars based in China, Russia and Bangladesh. Keke Geng's co-authors include Guodong Yin, Yan Wang, Haoxuan Dong, Weichao Zhuang, Liwei Xu, Jinxiang Wang, Yaping Ren, Yanjun Li, Ge Dong and Ning Zhang and has published in prestigious journals such as Chemosphere, IEEE Access and Sensors.

In The Last Decade

Keke Geng

41 papers receiving 435 citations

Peers

Keke Geng
Christopher R. Hudson United States
Shun Yang China
Soo-Yeong Yi South Korea
Vítor Santos Portugal
Christopher R. Hudson United States
Keke Geng
Citations per year, relative to Keke Geng Keke Geng (= 1×) peers Christopher R. Hudson

Countries citing papers authored by Keke Geng

Since Specialization
Citations

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

Fields of papers citing papers by Keke Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keke Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Keke Geng. A scholar is included among the top collaborators of Keke Geng 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 Keke Geng. Keke Geng 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.
Lu, Ping, et al.. (2024). Air–Ground Collaborative Multi-Target Detection Task Assignment and Path Planning Optimization. Drones. 8(3). 110–110. 7 indexed citations
4.
Yin, Guodong, et al.. (2024). A Novel Semantic Information Perception Architecture for Extreme Targets Detection in Complex Traffic Scenarios. IEEE Transactions on Intelligent Vehicles. 10(5). 3238–3250. 1 indexed citations
5.
Geng, Keke, et al.. (2024). Moving Traffic Object Detection Based on Bayesian Theory Fusion. Automotive Innovation. 7(3). 418–430. 1 indexed citations
6.
Zhang, Qixiang, et al.. (2023). ‘’Impact of Visual Encoding on Automation Transparency in Drone Interface. 1–6. 1 indexed citations
7.
Geng, Keke, et al.. (2023). Review on Environmental Perception Methods of Autonomous Vehicles. Journal of Mechanical Engineering. 59(20). 281–281. 1 indexed citations
8.
Zhang, Xuan, Keke Geng, Ningning Wu, et al.. (2023). Sustained anaerobic degradation of 4-chloro-2-methylphenoxyacetic acid by acclimated sludge in a continuous-flow reactor. Chemosphere. 330. 138749–138749. 10 indexed citations
9.
Geng, Keke, et al.. (2023). SLBAF-Net: Super-Lightweight bimodal adaptive fusion network for UAV detection in low recognition environment. Multimedia Tools and Applications. 82(30). 47773–47792. 24 indexed citations
10.
11.
Zhang, Xuan, et al.. (2022). Lysobacter sedimenti sp. nov., Isolated from the Sediment, and Reclassification of Luteimonas lumbrici as Lysobacter lumbrici comb. nov. Current Microbiology. 79(12). 381–381. 1 indexed citations
12.
Geng, Keke, Ge Dong, & Wenhan Huang. (2022). Robust dual-modal image quality assessment aware deep learning network for traffic targets detection of autonomous vehicles. Multimedia Tools and Applications. 81(5). 6801–6826. 11 indexed citations
13.
Li, Wei, Yu Xie, Yuxue Li, et al.. (2022). Robust lateral motion control of distributed drive vehicle considering long input delays. International Journal of Robust and Nonlinear Control. 33(5). 3185–3209. 2 indexed citations
14.
Peng, Pai, et al.. (2021). Adaptive Multi-modal Fusion Instance Segmentation for CAEVs in Complex Conditions: Dataset, Framework and Verifications. Chinese Journal of Mechanical Engineering. 34(1). 3 indexed citations
15.
Wang, Yan, Keke Geng, Liwei Xu, et al.. (2020). Estimation of Sideslip Angle and Tire Cornering Stiffness Using Fuzzy Adaptive Robust Cubature Kalman Filter. IEEE Transactions on Systems Man and Cybernetics Systems. 52(3). 1451–1462. 59 indexed citations
16.
Geng, Keke, et al.. (2020). Deep Dual-Modal Traffic Objects Instance Segmentation Method Using Camera and LIDAR Data for Autonomous Driving. Remote Sensing. 12(20). 3274–3274. 27 indexed citations
17.
Geng, Keke, Guodong Yin, Yang Li, et al.. (2019). Low-observable targets detection for autonomous vehicles based on dual-modal sensor fusion with deep learning approach. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 233(9). 2270–2283. 16 indexed citations
18.
19.
Li, Yanjun, Guodong Yin, Weichao Zhuang, et al.. (2018). Compensating Delays and Noises in Motion Control of Autonomous Electric Vehicles by Using Deep Learning and Unscented Kalman Predictor. IEEE Transactions on Systems Man and Cybernetics Systems. 50(11). 4326–4338. 44 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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