Pu Ji

25 papers receiving 898 citations

Peers

Pu Ji
Comparison fields: 5 of 89
  • Management Science and Operations Research 628
  • Statistics and Probability 134
  • Control and Systems Engineering 320
  • Artificial Intelligence 231
  • Management of Technology and Innovation 49
Replace Sumin Yu with:
Sumin Yu China
Ruey‐Chyn Tsaur Taiwan
Hong‐gang Peng China
J. Douglas Barrett United States
Kuo-Chen Hung Taiwan
Fei Teng China
Jing–Rong Chang Taiwan
C. Zopounidis Greece
Pu Ji relative to Sumin Yu China Sumin Yu's profile →
Citations per field
00.5×2.9×
Sumin Yu · 1×
Citations per year

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-authors

The 13 scholars most cited alongside Pu Ji, 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 Pu Ji Line = papers co-authored together Pu Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016165
2 2016132
3 201693
4 201889
5 201886
6 201585
7 201674
8 201768
9 201844
10 202116
11 200112
12 200710
13 20059
14 20068
15 20228
16 20168
17 20195
18 20234
19 20034
20 20233

About Pu Ji

Pu Ji is a scholar working on Management Science and Operations Research, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Information Systems, having authored 27 papers that have together received 929 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (12 papers), Optimization and Mathematical Programming (6 papers), Power Transformer Diagnostics and Insulation (4 papers), Cognitive Science and Mapping (4 papers), Sentiment Analysis and Opinion Mining (3 papers), High voltage insulation and dielectric phenomena (3 papers), Power Quality and Harmonics (2 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Management Science and Operations Research (628 citations), Statistics and Probability (134 citations), Control and Systems Engineering (320 citations), Artificial Intelligence (231 citations) and Management of Technology and Innovation (49 citations). Pu Ji has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Jian‐qiang Wang, Hong‐yu Zhang, Xiaohong Chen, Hongyu Zhang, Juin Yau Lim, Chanan Singh, Aydoḡan Özdemir, Suman Bhunia, Xiaoyu Ma and Feng Qiu. Their work appears in journals such as Cognitive Computation, Neural Computing and Applications, Tourism Management, International Journal of Computational Intelligence Systems and Expert Systems with Applications.

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.

Explore authors with similar magnitude of impact