Jun Guo

2.2k citations
86 papers · 1.4k · h-index 21

Impact in

Papers in

Jun Guo

75 papers receiving 1.4k citations

Peers

Jun Guo
Comparison fields: 5 of 112
  • Industrial and Manufacturing Engineering 427
  • Management Science and Operations Research 177
  • Marketing 76
  • Environmental Engineering 117
  • Management of Technology and Innovation 55
Replace Shunsheng Guo with:
Shunsheng Guo China
Emel Kızılkaya Aydoğan Türkiye
Henry Y.K. Lau Hong Kong
Ioan Petri United Kingdom
Peng Wu China
Baigang Du China
Dimosthenis Ioannidis Greece
Pablo Cortés Spain
Amelia Regan United States
Jun Guo relative to Shunsheng Guo China Shunsheng Guo's profile →
Citations per field
00.5×1.5×1.8×
Shunsheng Guo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Guo Line = papers co-authored together Jun Guo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010152
2 2017111
3 2019107
4 2021100
5 202296
6 201073
7 202066
8 201550
9 201149
10 202336
11 201433
12 202332
13 202231
14 202128
15 202227
16 202327
17 202326
18 202424
19 201622
20 201721

About Jun Guo

Jun Guo is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Information Systems, Mechanical Engineering and Control and Systems Engineering, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (17 papers), Scheduling and Optimization Algorithms (17 papers), Advanced Manufacturing and Logistics Optimization (14 papers), Assembly Line Balancing Optimization (9 papers), Sustainable Supply Chain Management (7 papers), Water resources management and optimization (6 papers), Energy Load and Power Forecasting (6 papers) and Hydrological Forecasting Using AI (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (427 citations), Management Science and Operations Research (177 citations), Marketing (76 citations), Environmental Engineering (117 citations) and Management of Technology and Innovation (55 citations). Jun Guo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Baigang Du, Shunsheng Guo, Xiaorong Huang, Yibing Li, Xiaobing Yu, Kaipu Wang, Shuo Huang, Xixing Li, Qiliang Zhou and Lei Wang. Their work appears in journals such as Expert Systems with Applications, Computers & Industrial Engineering, Engineering Applications of Artificial Intelligence, Applied Soft Computing and Theory and applications of categories.

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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