Ping Duan

548 citations
8 papers · 401 · h-index 6

Impact in

Papers in

Journals
IEEE Transactions on Control Systems Technology (2 papers)AIChE Journal (1 paper)SpringerBriefs in applied sciences and technology (1 paper)International Journal of Hybrid Information Technology (1 paper)University of Alberta Library (1 paper)
Partner nations
ChinaCanada

In The Last Decade

Ping Duan

8 papers receiving 384 citations

Peers

Ping Duan
Comparison fields: 5 of 59
  • Statistics, Probability and Uncertainty 98
  • Control and Systems Engineering 298
  • Analytical Chemistry 97
  • Artificial Intelligence 84
  • Mechanical Engineering 84
Replace G.M. Stanley with:
G.M. Stanley United States
Swanand Khare India
H. Ye China
Derya B. Özyurt United States
Weihua Gao Germany
Xianqiu Meng China
Krister Forsman Sweden
S. Puthenpura Canada
Hany S. Abdel‐Khalik United States
Maciej Patan Poland
Ping Duan relative to G.M. Stanley United States G.M. Stanley's profile →
Citations per field
00.5×10×
G.M. Stanley · 1×
Citations per year

Countries citing papers authored by Ping Duan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Ping Duan, 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 Duan Line = papers co-authored together Ping Duan links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2013147
2 201476
3 201476
4 201460
5 201624
6 201211
7 20145
8
An integrated prediction model for burn-through-point in lead-zinc sintering process
20092

About Ping Duan

Ping Duan is a scholar working on Control and Systems Engineering, Analytical Chemistry, Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 8 papers that have together received 401 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Advanced Chemical Sensor Technologies (1 paper), Vehicle Routing Optimization Methods (1 paper), Metallurgical Processes and Thermodynamics (1 paper), Advanced Control Systems Optimization (1 paper), Advanced Data Processing Techniques (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (98 citations), Control and Systems Engineering (298 citations), Analytical Chemistry (97 citations), Artificial Intelligence (84 citations) and Mechanical Engineering (84 citations). Ping Duan has collaborated with scholars based in China and Canada. Frequent co-authors include Sirish L. Shah, Tongwen Chen, Fan Yang, Yong Ai and Fan Yang. Their work appears in journals such as IEEE Transactions on Control Systems Technology, AIChE Journal, SpringerBriefs in applied sciences and technology, International Journal of Hybrid Information Technology and University of Alberta Library.

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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