Pu Ji

40 total papers · 1.1k total citations
26 papers, 927 citations indexed

About

Pu Ji is a scholar working on Management Science and Operations Research, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Pu Ji has authored 26 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 8 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Pu Ji's work include Multi-Criteria Decision Making (12 papers), Optimization and Mathematical Programming (6 papers) and Power Transformer Diagnostics and Insulation (4 papers). Pu Ji is often cited by papers focused on Multi-Criteria Decision Making (12 papers), Optimization and Mathematical Programming (6 papers) and Power Transformer Diagnostics and Insulation (4 papers). Pu Ji collaborates with scholars based in China, South Korea and United States. Pu Ji's co-authors include Jian‐qiang Wang, Hong‐yu Zhang, Xiaohong Chen, Hongyu Zhang, Juin Yau Lim, Chanan Singh, Aydoḡan Özdemir, Xiaoyu Ma, Suman Bhunia and Feng Qiu and has published in prestigious journals such as Tourism Management, Expert Systems with Applications and Computers & Industrial Engineering.

In The Last Decade

Pu Ji

25 papers receiving 896 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pu Ji 628 323 232 137 131 26 927
Ru‐xin Nie 808 1.3× 164 0.5× 341 1.5× 81 0.6× 137 1.0× 34 1.2k
Hong‐gang Peng 899 1.4× 262 0.8× 336 1.4× 179 1.3× 101 0.8× 26 1.2k
Caroline M. Eastman 539 0.9× 232 0.7× 319 1.4× 274 2.0× 79 0.6× 50 1.2k
Adjei Peter Darko 603 1.0× 284 0.9× 118 0.5× 180 1.3× 82 0.6× 37 932
Fei Teng 888 1.4× 311 1.0× 348 1.5× 158 1.2× 80 0.6× 47 1.2k
Jing–Rong Chang 630 1.0× 215 0.7× 237 1.0× 180 1.3× 34 0.3× 32 960
Xiaomei Mi 878 1.4× 214 0.7× 289 1.2× 108 0.8× 58 0.4× 24 1.2k
Ping-Teng Chang 663 1.1× 218 0.7× 264 1.1× 384 2.8× 44 0.3× 44 1.2k
Kuo-Chen Hung 429 0.7× 122 0.4× 200 0.9× 139 1.0× 58 0.4× 59 865
Shide Sadat Hashemi 742 1.2× 336 1.0× 115 0.5× 125 0.9× 31 0.2× 35 1.1k

Countries citing papers authored by Pu Ji

Since Specialization
Citations

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

Fields of papers citing papers by Pu Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Ji. A scholar is included among the top collaborators of Pu Ji 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 Pu Ji. Pu Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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