Dongdong Cheng

1.3k citations
42 papers · 884 indexed · h-index 18
Topics
Advanced Clustering Algorithms Research (20 papers)Complex Network Analysis Techniques (14 papers)Face and Expression Recognition (14 papers)
Partner nations
ChinaJapan

In The Last Decade

Dongdong Cheng

39 papers receiving 861 citations

Peers

Dongdong Cheng
Comparison fields: 5 of 73
  • Artificial Intelligence 694
  • Computer Vision and Pattern Recognition 326
  • Signal Processing 177
  • Statistical and Nonlinear Physics 169
  • Computer Networks and Communications 71
Replace Jinlong Huang with:
Jinlong Huang China
Mingjing Du China
Caiming Zhong China
Malay K. Pakhira India
Sami Sieranoja Finland
Abdolreza Mirzaei Iran
Erxue Min China
Chenglong Wang China
Hongqiang Rong Hong Kong
Dongdong Cheng relative to Jinlong Huang China Jinlong Huang's profile →
Citations per field
00.5×1.5×
Jinlong Huang · 1×
Citations per year

Countries citing papers authored by Dongdong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Dongdong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongdong Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Dongdong Cheng. A scholar is included among the top collaborators of Dongdong Cheng 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 Dongdong Cheng. Dongdong Cheng 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 15
2 15
3 13
4 2
5 1
6 50
7 41
8 17
9 1
10 40
11 46
12 2
13 32
14 19
15 39
16 9
17 5
18 91
19 1
20
Effective depth of vacuum preloading for reinforcing soft soil
1

About Dongdong Cheng

Dongdong Cheng is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 42 papers that have together received 884 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (20 papers), Complex Network Analysis Techniques (14 papers) and Face and Expression Recognition (14 papers). The work is most often cited by research in Artificial Intelligence (694 citations), Signal Processing (177 citations) and Computer Vision and Pattern Recognition (326 citations). Dongdong Cheng has collaborated with scholars based in China and Japan. Frequent co-authors include Jinlong Huang, Quanwang Wu, Lijun Yang, Qingsheng Zhu, Sulan Zhang, Guoyin Wang, Shuyin Xia, Junnan Li, Ya Li and Jiang Xie. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

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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