Yuting Wang

1.6k total citations
97 papers, 937 citations indexed

About

Yuting Wang is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yuting Wang has authored 97 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Industrial and Manufacturing Engineering, 21 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in Yuting Wang's work include Scheduling and Optimization Algorithms (37 papers), Advanced Manufacturing and Logistics Optimization (34 papers) and Assembly Line Balancing Optimization (18 papers). Yuting Wang is often cited by papers focused on Scheduling and Optimization Algorithms (37 papers), Advanced Manufacturing and Logistics Optimization (34 papers) and Assembly Line Balancing Optimization (18 papers). Yuting Wang collaborates with scholars based in China, Macao and United States. Yuting Wang's co-authors include Yuyan Han, Chih-Fan Chen, Chia-Po Wei, Junqing Li, Kaizhou Gao, Quan-Ke Pan, Yiping Liu, Haoxiang Qin, Vladimir Pavlović and Ling Wang 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

Yuting Wang

89 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuting Wang China 15 410 260 146 130 81 97 937
Jochen Gorski Germany 6 68 0.2× 111 0.4× 136 0.9× 68 0.5× 75 0.9× 11 596
Zhaoquan Cai China 17 143 0.3× 330 1.3× 293 2.0× 18 0.1× 40 0.5× 67 924
Maofu Liu China 16 149 0.4× 380 1.5× 358 2.5× 81 0.6× 22 0.3× 59 839
M. Arif Wani India 14 78 0.2× 275 1.1× 228 1.6× 20 0.2× 115 1.4× 63 802
Zongben Xu China 7 44 0.1× 196 0.8× 199 1.4× 244 1.9× 48 0.6× 14 732
Tian–Li Yu Taiwan 16 115 0.3× 218 0.8× 249 1.7× 31 0.2× 38 0.5× 75 928
Maoqing Zhang China 15 39 0.1× 126 0.5× 204 1.4× 64 0.5× 116 1.4× 37 663
Liu Li China 12 36 0.1× 339 1.3× 143 1.0× 32 0.2× 43 0.5× 111 614
Cheng Zhong China 13 55 0.1× 168 0.6× 157 1.1× 16 0.1× 43 0.5× 97 792

Countries citing papers authored by Yuting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Wang. A scholar is included among the top collaborators of Yuting Wang 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 Yuting Wang. Yuting Wang 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.
Li, Can, et al.. (2025). Feature-driven double deep Q-network with iterated greedy for intelligent scheduling optimization in reentrant hybrid flow shops. Engineering Applications of Artificial Intelligence. 161. 112012–112012.
2.
Han, Yuyan, et al.. (2025). From fluid relaxations to double deep Q-network for Dynamic Multiplicity Flexible Job-Shop Scheduling. Applied Soft Computing. 177. 113231–113231.
3.
6.
Wang, Yuting, Yuyan Han, Huan Li, Quan-Ke Pan, & Dunwei Gong. (2024). Theoretical analysis and methods of rapid evaluation: Solving the blocking flowshop group scheduling problem with the total flow time and total tardiness time criteria. Swarm and Evolutionary Computation. 88. 101604–101604. 3 indexed citations
7.
Wang, Yuting, Qiankun Wang, Jingyi Shi, et al.. (2024). Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation. npj Digital Medicine. 7(1). 349–349. 12 indexed citations
8.
Wang, Yuting, et al.. (2024). Theoretical analysis and implementation of mandatory operations-based accelerated search in graph space for hybrid flow shop scheduling. Expert Systems with Applications. 257. 125026–125026. 4 indexed citations
9.
Wang, Yuting, Jing Han, Yongxue Zhu, Naisi Huang, & Ning Qu. (2024). New advances in the therapeutic strategy of head and neck squamous cell carcinoma: A review of latest therapies and cutting-edge research. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1880(1). 189230–189230. 13 indexed citations
10.
Wang, Yuting, et al.. (2023). Redefining hybrid flow shop group scheduling: Unveiling a novel hybrid modeling paradigm and assessing 48 MILP and CP models. Swarm and Evolutionary Computation. 83. 101416–101416. 10 indexed citations
11.
Sang, Hongyan, et al.. (2023). Joint scheduling of parallel machines and AGVs with sequence-dependent setup times in a matrix workshop. Computers & Industrial Engineering. 185. 109621–109621. 11 indexed citations
12.
Liu, Yuan, et al.. (2023). Exploring specific associations of childhood maltreatment with social cognition in drug-naive first-episode major depressive disorder: a sex-centric approach. European Archives of Psychiatry and Clinical Neuroscience. 274(7). 1709–1717. 1 indexed citations
13.
Han, Yuyan, et al.. (2023). Intelligent optimization under the makespan constraint: Rapid evaluation mechanisms based on the critical machine for the distributed flowshop group scheduling problem. European Journal of Operational Research. 311(3). 816–832. 41 indexed citations
14.
Wang, Yuting, Wenhua Cui, & Tao Ye. (2023). A color image chunking encryption algorithm based on DNA and compound chaotic system. Multimedia Tools and Applications. 83(12). 35449–35469.
15.
Tan, Li, Yuting Wang, Jianlong Li, et al.. (2023). Effect of Koji on Flavor Compounds and Sensory Characteristics of Rice Shochu. Molecules. 28(6). 2708–2708. 4 indexed citations
16.
Han, Yuyan, et al.. (2023). A Distributed Blocking Flowshop Scheduling with Setup Times Using Multi-Factory Collaboration Iterated Greedy Algorithm. Mathematics. 11(3). 581–581. 8 indexed citations
17.
Ma, Chun-Wang, et al.. (2022). Determination of neutron-skin thickness using configurational information entropy. Nuclear Science and Techniques. 33(1). 18 indexed citations
18.
Wang, Yuting, et al.. (2021). Optimization of College English Classroom Teaching Process from the Perspective of Educational Psychology Based on Multi-feature Blended Learning. Advances in Educational Technology and Psychology. 5(7). 180–195. 1 indexed citations
19.
Chu, Mei-Tai, et al.. (2020). Industry Performance Appraisal Using Improved MCDM for Next Generation of Taiwan. Sustainability. 12(13). 5290–5290. 14 indexed citations
20.
Wang, Yuting. (2010). Hybrid Pareto-based tabu search algorithm for solving the multi-objective flexible Job Shop scheduling problem. Computer Integrated Manufacturing Systems. 3 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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