Ting Huang

1.3k total citations · 1 hit paper
63 papers, 843 citations indexed

About

Ting Huang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ting Huang has authored 63 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ting Huang's work include Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers). Ting Huang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers). Ting Huang collaborates with scholars based in China, Australia and South Korea. Ting Huang's co-authors include Xiaoan Tang, Jun Zhang, Qiang Zhang, Shuangyao Zhao, Xiaonong Lu, Yue‐Jiao Gong, Sam Kwong, Hua Wang, Zhi‐Hui Zhan and Yingchun Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Ting Huang

54 papers receiving 818 citations

Hit Papers

A novel fault diagnosis method based on CNN and LSTM and ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Huang China 16 309 200 112 99 76 63 843
Mauricio A. Sanchez Mexico 13 574 1.9× 265 1.3× 152 1.4× 34 0.3× 49 0.6× 37 1.1k
Renato Tinós Brazil 16 456 1.5× 224 1.1× 245 2.2× 95 1.0× 79 1.0× 92 892
Huifang Li China 12 144 0.5× 175 0.9× 86 0.8× 71 0.7× 91 1.2× 36 687
Tsung-Ying Sun Taiwan 15 372 1.2× 171 0.9× 176 1.6× 44 0.4× 44 0.6× 75 936
Gregory Provan Ireland 18 492 1.6× 201 1.0× 162 1.4× 63 0.6× 33 0.4× 112 1.1k
Yuchang Mo China 18 270 0.9× 169 0.8× 47 0.4× 52 0.5× 59 0.8× 45 1.3k
Surafel Luleseged Tilahun South Africa 13 333 1.1× 98 0.5× 145 1.3× 101 1.0× 50 0.7× 37 633
Jiangjiang Zhang China 11 385 1.2× 103 0.5× 183 1.6× 97 1.0× 40 0.5× 30 1.0k
Ameer Tamoor Khan Hong Kong 17 276 0.9× 249 1.2× 77 0.7× 26 0.3× 54 0.7× 35 766
Olympia Roeva Bulgaria 14 241 0.8× 123 0.6× 64 0.6× 47 0.5× 39 0.5× 82 678

Countries citing papers authored by Ting Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Huang. A scholar is included among the top collaborators of Ting Huang 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 Ting Huang. Ting Huang 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.
Gong, Yue‐Jiao, et al.. (2025). Long-Distance Charge-Route Planning for Electric Vehicles: A Multi-Solution Approach. IEEE Transactions on Transportation Electrification. 11(4). 9660–9672.
2.
Gong, Yue‐Jiao, et al.. (2025). Large language model as meta-surrogate for offline data-driven many-task optimization: A proof-of-principle study. Information Sciences. 726. 122762–122762.
3.
Huang, Ting, et al.. (2025). A Robust Lifelong Multi-Agent Path Finding With Active Conflict Resolution and Decentralized Execution. IEEE Robotics and Automation Letters. 10(5). 4652–4659.
4.
Huang, Ting, Ben Niu, Yue‐Jiao Gong, & Jing Liu. (2025). An efficient history-guided surrogate models-assisted niching evolutionary algorithm for expensive multimodal optimization. Swarm and Evolutionary Computation. 95. 101906–101906.
5.
Huang, Ting, et al.. (2025). Continuous Berth Allocation and Time-Variant Quay Crane Assignment: Memetic Algorithm With a Heuristic Decoding Method. IEEE Transactions on Intelligent Transportation Systems. 26(3). 3387–3401. 3 indexed citations
6.
Huang, Ting, et al.. (2025). A linguistic granular computing approach for failure mode and effect analysis. Applied Soft Computing. 186. 114113–114113.
7.
9.
Huang, Ting, et al.. (2024). RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. Proceedings of the Genetic and Evolutionary Computation Conference. 683–693. 1 indexed citations
10.
Huang, Ting, Zhenquan Zhang, Yue‐Jiao Gong, & Jing Liu. (2024). nLKH-ACS: A Niching Lin-Kernighan–Helsgaun-Based Ant Colony System for Multisolution Traveling Salesman Problems. IEEE Transactions on Evolutionary Computation. 29(6). 2596–2610. 2 indexed citations
11.
Huang, Ting, Witold Pedrycz, Qiang Zhang, Xiaoan Tang, & Shanlin Yang. (2024). Constructing order-2 information granules of linguistic expressions with the aid of the principle of justifiable granularity. European Journal of Operational Research. 318(3). 892–910. 3 indexed citations
12.
Xiong, Zhi, et al.. (2023). Using Radiomics and Convolutional Neural Networks for the Prediction of Hematoma Expansion After Intracerebral Hemorrhage. International Journal of General Medicine. Volume 16. 3393–3402. 9 indexed citations
13.
Gong, Yue‐Jiao, Ting Huang, Yining Ma, Sang-Woon Jeon, & Jun Zhang. (2023). MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles. IEEE Transactions on Intelligent Transportation Systems. 24(4). 3714–3727. 19 indexed citations
14.
Huang, Ting, Xiaoan Tang, Shuangyao Zhao, Qiang Zhang, & Witold Pedrycz. (2022). Linguistic information-based granular computing based on a tournament selection operator-guided PSO for supporting multi-attribute group decision-making with distributed linguistic preference relations. Information Sciences. 610. 488–507. 18 indexed citations
15.
Huang, Ting, et al.. (2020). A meta-analysis on the improvement of endometrial receptivity of PCOS by Bushen recipe combined with Clomiphene. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Huang, Ting, Yue‐Jiao Gong, Wei–Neng Chen, Hua Wang, & Jun Zhang. (2020). A Probabilistic Niching Evolutionary Computation Framework Based on Binary Space Partitioning. IEEE Transactions on Cybernetics. 52(1). 51–64. 24 indexed citations
17.
Huang, Ting, Yue‐Jiao Gong, Yuhui Zhang, Zhi‐Hui Zhan, & Jun Zhang. (2019). Automatic Planning of Multiple Itineraries: A Niching Genetic Evolution Approach. IEEE Transactions on Intelligent Transportation Systems. 21(10). 4225–4240. 31 indexed citations
18.
Li, Hui, et al.. (2017). The architecture of distributed storage system under mimic defense theory. 2658–2663. 8 indexed citations
19.
Huang, Ting. (2012). Short-Term Power Prediction of a Wind Farm Based on Wavelet and Extreme Learning Machine. Control Engineering of China. 1 indexed citations
20.
Huang, Ting. (2011). From Value Conflict to Value Integrate——Study on Chinese Youth Subculture.

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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