Cong Dong

1.6k citations
49 papers · 1.2k · h-index 19

Impact in

Papers in

Cong Dong

44 papers receiving 1.2k citations

Peers

Cong Dong
Comparison fields: 5 of 118
  • Automotive Engineering 113
  • Electrical and Electronic Engineering 515
  • Immunology 138
  • Electronic, Optical and Magnetic Materials 107
  • Rheumatology 75
Replace Akihiro Yamaguchi with:
Akihiro Yamaguchi Japan
Yifan Tian China
Xiaobo Wang China
Lijuan Li China
Qi Gao China
Gaopeng Li China
Yuhuan Zhou China
Seungmin Han South Korea
Xingkai Wang China
Cong Dong relative to Akihiro Yamaguchi Japan Akihiro Yamaguchi's profile →
Citations per field
00.5×6.6×
Akihiro Yamaguchi · 1×
Citations per year

Countries citing papers authored by Cong Dong

Since Specialization
Citations

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

Fields of papers citing papers by Cong Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020187
2 2018173
3 2021117
4 201975
5 202048
6 202047
7 202241
8 201839
9 201438
10 201937
11 202136
12 202035
13 202433
14 202430
15 202330
16 201523
17 202319
18 202419
19 202118
20 201817

About Cong Dong

Cong Dong is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advancements in Battery Materials (12 papers), Advanced Battery Materials and Technologies (11 papers), Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (7 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Battery Technologies Research (3 papers) and Supercapacitor Materials and Fabrication (3 papers). The work is most often cited by research in Automotive Engineering (113 citations), Electrical and Electronic Engineering (515 citations), Immunology (138 citations), Electronic, Optical and Magnetic Materials (107 citations) and Rheumatology (75 citations). Cong Dong has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Zhong‐Shuai Wu, Haodong Shi, Yongming Chen, Kam W. Leong, Lixin Liu, Hai‐Quan Mao, Jun Shen, Huiyi Liang, Xiaomin Ren and Jian Liu. Their work appears in journals such as Frontiers in Immunology, Advanced Energy Materials, Advanced Functional Materials, Journal of Oral Pathology and Medicine and Computers & Security.

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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