Xingjian Ding

705 citations
30 papers · 454 indexed · h-index 11
Topics
Mobile Crowdsensing and Crowdsourcing (10 papers)Energy Harvesting in Wireless Networks (9 papers)Wireless Power Transfer Systems (6 papers)

In The Last Decade

Xingjian Ding

27 papers receiving 451 citations

Peers

Xingjian Ding
Comparison fields: 5 of 83
  • Computer Networks and Communications 138
  • Information Systems 132
  • Electrical and Electronic Engineering 120
  • Molecular Biology 113
  • Computer Science Applications 59
Replace Yansheng Wang with:
Yansheng Wang China
Dian Shen China
V. Vijayalakshmi India
Thanh T. L. Tran United States
Rajdeep Niyogi India
Gordan Ježić Croatia
Hanan Elazhary Saudi Arabia
Subhranil Som India
Xingjian Ding relative to Yansheng Wang China Yansheng Wang's profile →
Citations per field
00.5×5.1×
Yansheng Wang · 1×
Citations per year

Countries citing papers authored by Xingjian Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xingjian Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjian Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjian Ding. A scholar is included among the top collaborators of Xingjian Ding 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 Xingjian Ding. Xingjian Ding 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
#WorkIndexed citations
1 1
2 0
3 0
4 50
5 73
6 6
7 5
8 1
9 18
10 14
11
An Incentive Mechanism for Building a Secure Blockchain-based Industrial Internet of Things.
1
12 8
13 66
14 7
15 24
16 4
17 5
18 24
19 9
20 2

About Xingjian Ding

Xingjian Ding is a scholar working on Computer Science Applications, Computer Networks and Communications and Management Science and Operations Research, having authored 30 papers that have together received 454 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (10 papers), Energy Harvesting in Wireless Networks (9 papers) and Wireless Power Transfer Systems (6 papers). The work is most often cited by research in Computer Science Applications (59 citations), Computer Networks and Communications (138 citations) and Information Systems (132 citations). Xingjian Ding has collaborated with scholars based in China, United States and North Korea. Frequent co-authors include Jianxiong Guo, Weili Wu, Deying Li, Yixiang Xu, Yonghui Li, Zhenjiao Du, Guodong Sun, Yongcai Wang, Arslan Munir and William Hsu. Their work appears in journals such as Food Chemistry, IEEE Access and Sensors.

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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