Guohui Tian

2.1k total citations
176 papers, 1.5k citations indexed

About

Guohui Tian is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Guohui Tian has authored 176 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computer Vision and Pattern Recognition, 69 papers in Control and Systems Engineering and 42 papers in Artificial Intelligence. Recurrent topics in Guohui Tian's work include Robotics and Automated Systems (41 papers), Robotics and Sensor-Based Localization (38 papers) and Video Surveillance and Tracking Methods (22 papers). Guohui Tian is often cited by papers focused on Robotics and Automated Systems (41 papers), Robotics and Sensor-Based Localization (38 papers) and Video Surveillance and Tracking Methods (22 papers). Guohui Tian collaborates with scholars based in China, United Kingdom and United States. Guohui Tian's co-authors include Shaopeng Liu, Ying Zhang, Guoliang Liu, Mengyang Zhang, Yuan Xu, Zhongli Wang, Peng Duan, Yan Li, Yuan Xu and Xiyuan Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

In The Last Decade

Guohui Tian

149 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohui Tian China 21 758 410 320 304 200 176 1.5k
Cipriano Galindo Spain 20 718 0.9× 420 1.0× 406 1.3× 556 1.8× 129 0.6× 70 1.7k
Erwin Prassler Germany 17 588 0.8× 358 0.9× 222 0.7× 262 0.9× 153 0.8× 61 1.1k
Tully Foote United States 7 673 0.9× 501 1.2× 204 0.6× 449 1.5× 141 0.7× 8 1.4k
Baoye Song China 19 889 1.2× 694 1.7× 442 1.4× 243 0.8× 90 0.5× 59 1.9k
Kai‐Tai Song Taiwan 23 1.4k 1.8× 824 2.0× 221 0.7× 473 1.6× 358 1.8× 147 2.1k
Stefano Caselli Italy 23 615 0.8× 693 1.7× 199 0.6× 370 1.2× 229 1.1× 121 1.5k
Cosmin Copot Belgium 17 826 1.1× 801 2.0× 191 0.6× 472 1.6× 108 0.5× 101 1.6k
Ibraheem Kasim Ibraheem Iraq 21 424 0.6× 642 1.6× 228 0.7× 203 0.7× 180 0.9× 87 1.3k
Woojin Chung South Korea 22 986 1.3× 747 1.8× 152 0.5× 574 1.9× 314 1.6× 120 1.7k
František Duchoň Slovakia 17 776 1.0× 529 1.3× 117 0.4× 534 1.8× 167 0.8× 83 1.4k

Countries citing papers authored by Guohui Tian

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohui Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Guohui Tian. A scholar is included among the top collaborators of Guohui Tian 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 Guohui Tian. Guohui Tian 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.
2.
Zhang, Ying, et al.. (2025). Human-Aware Social Navigation With Comfort Space for Mobile Robots in Human–Robot Coexistence Environments. IEEE Transactions on Computational Social Systems. 1–12.
3.
Huang, Bin, et al.. (2024). ASD-YOLO: An aircraft surface defects detection method using deformable convolution and attention mechanism. Measurement. 238. 115300–115300. 18 indexed citations
4.
Tian, Guohui, et al.. (2024). A semantic knowledge-based method for home service robot to grasp an object. Knowledge-Based Systems. 111947–111947. 3 indexed citations
5.
Liu, Guoliang, et al.. (2024). A New Clustering-Based View Planning Method for Building Inspection With Drone. IEEE Robotics and Automation Letters. 9(11). 9781–9788. 1 indexed citations
6.
Tian, Guohui, et al.. (2023). A semantic robotic grasping framework based on multi-task learning in stacking scenes. Engineering Applications of Artificial Intelligence. 121. 106059–106059. 18 indexed citations
7.
Yin, Jianqin, et al.. (2022). Sign Language Recognition Based on R(2+1)D With Spatial–Temporal–Channel Attention. IEEE Transactions on Human-Machine Systems. 52(4). 687–698. 31 indexed citations
8.
Liu, Shaopeng, et al.. (2022). A deep Q-learning network based active object detection model with a novel training algorithm for service robots. Frontiers of Information Technology & Electronic Engineering. 23(11). 1673–1683. 9 indexed citations
9.
Zhang, Ying, et al.. (2022). Semantic Grounding for Long-Term Autonomy of Mobile Robots Toward Dynamic Object Search in Home Environments. IEEE Transactions on Industrial Electronics. 70(2). 1655–1665. 17 indexed citations
10.
Liu, Shaopeng, et al.. (2022). Behavior Cloning-Based Robot Active Object Detection With Automatically Generated Data and Revision Method. IEEE Transactions on Robotics. 39(1). 665–680. 10 indexed citations
11.
Liu, Shaopeng, Guohui Tian, Ying Zhang, & Peng Duan. (2021). Scene Recognition Mechanism for Service Robot Adapting Various Families: A CNN-Based Approach Using Multi-Type Cameras. IEEE Transactions on Multimedia. 24. 2392–2406. 18 indexed citations
12.
Liu, Guoliang, et al.. (2021). Safe distance prediction for braking control of bridge cranes considering anti‐swing. International Journal of Intelligent Systems. 37(8). 4845–4863. 6 indexed citations
13.
Liu, Shaopeng, Guohui Tian, Ying Zhang, Mengyang Zhang, & Shuo Liu. (2021). Active Object Detection Based on a Novel Deep Q-Learning Network and Long-Term Learning Strategy for the Service Robot. IEEE Transactions on Industrial Electronics. 69(6). 5984–5993. 24 indexed citations
14.
Zhang, Ying, et al.. (2021). Building Metric-Topological Map to Efficient Object Search for Mobile Robot. IEEE Transactions on Industrial Electronics. 69(7). 7076–7087. 22 indexed citations
15.
Liu, Shaopeng, et al.. (2021). Service planning oriented efficient object search: A knowledge-based framework for home service robot. Expert Systems with Applications. 187. 115853–115853. 21 indexed citations
16.
Liu, Shaopeng & Guohui Tian. (2019). An Indoor Scene Classification Method for Service Robot Based on CNN Feature. Journal of Robotics. 2019. 1–12. 18 indexed citations
17.
Liu, Shaopeng, Guohui Tian, & Yuan Xu. (2019). A novel scene classification model combining ResNet based transfer learning and data augmentation with a filter. Neurocomputing. 338. 191–206. 112 indexed citations
18.
Xu, Yuan, Guohui Tian, & Xiyuan Chen. (2018). Enhancing INS/UWB Integrated Position Estimation Using Federated EFIR Filtering. IEEE Access. 6. 64461–64469. 28 indexed citations
19.
Wu, Hao, et al.. (2015). Three Hierarchy Map Building Based on Artificial Label. The Open Cybernetics & Systemics Journal. 9(1). 2834–2841. 1 indexed citations
20.
Yin, Jianqin, et al.. (2012). Human activity recognition based on event histogram and KL transform. Chinese Control Conference. 3912–3916. 1 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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