Jun Guo

2.1k total citations
85 papers, 1.4k citations indexed

About

Jun Guo is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jun Guo has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Industrial and Manufacturing Engineering, 20 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Jun Guo's work include Manufacturing Process and Optimization (17 papers), Scheduling and Optimization Algorithms (16 papers) and Advanced Manufacturing and Logistics Optimization (14 papers). Jun Guo is often cited by papers focused on Manufacturing Process and Optimization (17 papers), Scheduling and Optimization Algorithms (16 papers) and Advanced Manufacturing and Logistics Optimization (14 papers). Jun Guo collaborates with scholars based in China, United States and Australia. Jun Guo's co-authors include Baigang Du, Shunsheng Guo, Xiaorong Huang, Yibing Li, Xiaobing Yu, Kaipu Wang, Shuo Huang, Xixing Li, Lei Wang and Qiliang Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.

In The Last Decade

Jun Guo

75 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Guo China 20 400 236 176 152 123 85 1.4k
Norma Latif Fitriyani South Korea 19 192 0.5× 430 1.8× 60 0.3× 112 0.7× 55 0.4× 74 1.7k
Alper Murat United States 19 276 0.7× 435 1.8× 178 1.0× 106 0.7× 137 1.1× 46 1.5k
Nasser Jazdi Germany 23 1.3k 3.3× 356 1.5× 95 0.5× 237 1.6× 385 3.1× 146 2.5k
Abduallah Gamal Egypt 17 94 0.2× 196 0.8× 589 3.3× 137 0.9× 216 1.8× 47 1.4k
Radhya Sahal Egypt 19 286 0.7× 368 1.6× 30 0.2× 228 1.5× 104 0.8× 38 1.6k
Robin G. Qiu United States 19 398 1.0× 228 1.0× 56 0.3× 121 0.8× 44 0.4× 103 1.3k
Haitao Wu China 19 157 0.4× 204 0.9× 168 1.0× 50 0.3× 68 0.6× 54 1.3k
Weili Fang Australia 26 212 0.5× 544 2.3× 395 2.2× 78 0.5× 135 1.1× 45 3.1k
M. Mazhar Rathore South Korea 26 261 0.7× 615 2.6× 76 0.4× 432 2.8× 138 1.1× 65 3.0k
Sadoullah Ebrahimnejad Iran 20 337 0.8× 246 1.0× 565 3.2× 92 0.6× 202 1.6× 77 1.5k

Countries citing papers authored by Jun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Guo. A scholar is included among the top collaborators of Jun Guo 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 Jun Guo. Jun Guo 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, Yibing, Wei Zhu, Jun Guo, Kaipu Wang, & Liang Gao. (2025). Multi-objective collaborative optimization of green disassembly planning and recovery option decision considering the learning effect. Journal of Manufacturing Systems. 80. 324–343. 1 indexed citations
2.
Guo, Jun, Bin Peng, Baigang Du, Kaipu Wang, & Yibing Li. (2025). Q-learning-based multi-objective spotted hyena algorithm for flexible open shop scheduling problem with consideration of preventive maintenance and travel/setup times. Journal of Manufacturing Systems. 82. 224–238. 1 indexed citations
3.
Guo, Shunsheng, Yanhui Huang, Jun Guo, Zhao Peng, & Baigang Du. (2025). Modeling and optimization of batch scheduling problem considering the process granularity in shared manufacturing. Computers & Industrial Engineering. 205. 111198–111198. 1 indexed citations
4.
Guo, Jun, et al.. (2025). Probability forecasting for multivariate urban water demand using temporal convolutional network based on quantile regression and Parzen window. Engineering Applications of Artificial Intelligence. 162. 112528–112528.
5.
Du, Baigang, et al.. (2024). A hybrid estimation of distribution algorithm for solving assembly flexible job shop scheduling in a distributed environment. Engineering Applications of Artificial Intelligence. 133. 108491–108491. 13 indexed citations
6.
Du, Baigang, et al.. (2024). A rapid oriented detection method of virtual components for augmented assembly. Expert Systems with Applications. 248. 123357–123357. 5 indexed citations
7.
Guo, Jun, et al.. (2024). Inferring cascading effects of natural and built environments failures from social media videos in disasters. International Journal of Disaster Risk Reduction. 104. 104378–104378. 3 indexed citations
9.
Wang, Kaipu, Jun Guo, Baigang Du, et al.. (2023). A novel MILP model and an improved genetic algorithm for disassembly line balancing and sequence planning with partial destructive mode. Computers & Industrial Engineering. 186. 109704–109704. 27 indexed citations
10.
Du, Baigang, et al.. (2023). A hybrid collaborative framework for integrated production scheduling and vehicle routing problem with batch manufacturing and soft time windows. Computers & Operations Research. 159. 106346–106346. 11 indexed citations
11.
Guo, Jun, Dapeng Li, & Baigang Du. (2023). A stacked ensemble method based on TCN and convolutional bi-directional GRU with multiple time windows for remaining useful life estimation. Applied Soft Computing. 150. 111071–111071. 20 indexed citations
12.
Guo, Jun, et al.. (2023). Magnesium Preparation Through Vacuum Carbothermal Reduction Calcined Dolomite at Low Furnace Temperature. Metallurgical and Materials Transactions B. 54(4). 2037–2047.
13.
Chen, Yundai, Jun Guo, Baoshi Han, et al.. (2019). Accurate detection of atrial fibrillation from 12-lead ECG using deep neural network. Computers in Biology and Medicine. 116. 103378–103378. 101 indexed citations
14.
Zhang, Yichang, Xin Tong, Jianlong Wang, et al.. (2013). PRIS at Knowledge Base Population 2013. Theory and applications of categories. 3 indexed citations
15.
Yu, Xiaobing & Jun Guo. (2013). A Novel Adaptive Particle Swarm Optimization. Journal of Engineering Science and Technology Review. 6(2). 178–183. 3 indexed citations
16.
Cai, Yichao, Si Li, Li Yan, et al.. (2010). PRIS at TAC2010 KBP Track. Theory and applications of categories. 7 indexed citations
17.
Li, Si, et al.. (2009). PRIS at TAC 2009: Experiments in KBP Track. Theory and applications of categories. 1 indexed citations
18.
Xu, Weiran, et al.. (2006). BUPT at TREC 2006: Enterprise Track. Text REtrieval Conference. 2 indexed citations
19.
Yang, Zhen, Weiran Xu, Bo Chen, Jiani Hu, & Jun Guo. (2005). PRIS Kidult Anti-SPAM Solution at the TREC 2005 Spam Track: Improving the Performance of Naive Bayes for Spam Detection. Text REtrieval Conference.
20.
Xu, Weiran, et al.. (2005). TREC 2005 Enterprise Track Experiments at BUPT.. Text REtrieval Conference. 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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