Ding Pan

845 total citations
59 papers, 557 citations indexed

About

Ding Pan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ding Pan has authored 59 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Ding Pan's work include Advanced Database Systems and Queries (8 papers), Data Mining Algorithms and Applications (7 papers) and Semantic Web and Ontologies (7 papers). Ding Pan is often cited by papers focused on Advanced Database Systems and Queries (8 papers), Data Mining Algorithms and Applications (7 papers) and Semantic Web and Ontologies (7 papers). Ding Pan collaborates with scholars based in China, Iran and Australia. Ding Pan's co-authors include Huiqin Li, Xiaojuan Liu, Ke Zhang, Oveis Abedinia, Zhihua Yuan, Xiaojuan Liu, Guoshun Liu, Huanhuan Wang, Huilin Feng and Tianbao Ren and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Ding Pan

51 papers receiving 528 citations

Peers

Ding Pan
Comparison fields: 5 of 89
  • Mechanical Engineering 168
  • Electrical and Electronic Engineering 138
  • Automotive Engineering 116
  • Artificial Intelligence 83
  • Control and Systems Engineering 68
Replace Mohammed A. El-Meligy with:
Mohammed A. El-Meligy Saudi Arabia
Xinning Zhu China
Shiyao Zhang China
Xianhao Chen China
Basem E. Elnaghi Egypt
Pawan Kumar India
Zhi Yuan China
Mohsin Kamal Pakistan
Mohammed A. El-Meligy Saudi Arabia View profile →
Citations per field, relative to Ding Pan
Ding Pan · 1×
Citations per year, relative to Ding Pan
Ding Pan · 1×

Countries citing papers authored by Ding Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ding Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Pan

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 11
5 0
6 1
7 1
8 41
9 9
10 2
11
Intelligent Flaws Identification Method for Oil Casing Pipe Based on Wavelet Packet Decomposition and Support Vector Machine
0
12 1
13 3
14
Dynamic Modeling and Analysis for Coupling Processing 6-DOF 3P3R Manipulator
1
15
On customer segmentation and retention of telecom broadband in Pearl River Delta
1
16
Metadata versioning for DW2.0 architecture
2
17 16
18
Study on optimization of isothermal forging process of Ti alloys
1
19 12
20 3

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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