Ping Ji

13.7k citations
379 papers · 9.3k · 2 hit papers · h-index 48

Impact in

Papers in

Ping Ji

362 papers receiving 8.9k citations

Ping Ji's Hit Papers

Digital twin modeling 2022 · 696 citations
6960+4+8Years since publication200400600

Peers

Ping Ji
Comparison fields: 5 of 207
  • Industrial and Manufacturing Engineering 3.1k
  • Management Information Systems 905
  • Management Science and Operations Research 1.1k
  • Strategy and Management 1.2k
  • Management of Technology and Innovation 550
Replace Kay Chen Tan with:
Kay Chen Tan Singapore
W.H. Ip Hong Kong
Jay Lee United States
Yang Liu China
Chun‐Hsien Chen Singapore
Saı̈d Salhi United Kingdom
Gerhard‐Wilhelm Weber Türkiye
Matthias Ehrgott New Zealand
Manoj Kumar Tiwari India
Mitsuo Gen Japan
Ping Ji relative to Kay Chen Tan Singapore Kay Chen Tan's profile →
Citations per field
00.5×1.6×
Kay Chen Tan · 1×
Citations per year

Countries citing papers authored by Ping Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ping Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping 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 Ping Ji Line = papers co-authored together Ping Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 379 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Digital twin modeling
Hit paper breakdown →
2022696
2 2005441
3
Activity recognition with smartphone sensors
Hit paper breakdown →
2014295
4 2004294
5 2007254
6 2005184
7 2014167
8 2017154
9 2016135
10 2010130
11 2012127
12 2018125
13 1990125
14 2015120
15 2012116
16 202198
17 202388
18 201586
19 201886
20 200984

About Ping Ji

Ping Ji is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Management Science and Operations Research, Condensed Matter Physics and Artificial Intelligence, having authored 379 papers that have together received 9.3k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (59 papers), Advanced Manufacturing and Logistics Optimization (58 papers), Assembly Line Balancing Optimization (35 papers), Manufacturing Process and Optimization (25 papers), Sustainable Supply Chain Management (25 papers), Optimization and Search Problems (23 papers), Physics of Superconductivity and Magnetism (23 papers) and Supply Chain and Inventory Management (22 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (3.1k citations), Management Information Systems (905 citations), Management Science and Operations Research (1.1k citations), Strategy and Management (1.2k citations) and Management of Technology and Innovation (550 citations). Ping Ji has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kevin Cullinane, William Ho, Jian Jin, Dong‐Wook Song, Fei Tao, Tengfei Wang, Bin Xiao, Jiangfeng Cheng, Qinglin Qi and Ji‐Bo Wang. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, International Journal of Production Economics, International Journal of Production Research, Physica C Superconductivity and Optimization Letters.

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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