Hao Deng

690 total citations
35 papers, 555 citations indexed

About

Hao Deng is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Hao Deng has authored 35 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Automotive Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Hao Deng's work include Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Hao Deng is often cited by papers focused on Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Hao Deng collaborates with scholars based in China, Macao and United States. Hao Deng's co-authors include Zhongwei Deng, Yishan Cai, Lin Yang, Xiaowei Zhao, Weifu Li, Feng Xu, Fei Zhou, Hong Chen, Qiwei Xie and Hua Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Expert Systems with Applications.

In The Last Decade

Hao Deng

33 papers receiving 533 citations

Peers

Hao Deng
Comparison fields: 5 of 74
  • Automotive Engineering 356
  • Electrical and Electronic Engineering 338
  • Control and Systems Engineering 87
  • Computer Vision and Pattern Recognition 58
  • Artificial Intelligence 43
Replace Rui Xie with:
Rui Xie China
Hadi Kazemi United States
Yunfeng Yan China
Meng Jiao China
M. Campani Italy
Kyle Nelson Australia
Feifei Liu China
Jihun Kim South Korea
Wenchang Li China
Jingfeng Mao China
Rui Xie China View profile →
Citations per field, relative to Hao Deng
Hao Deng · 1×
Citations per year, relative to Hao Deng
Hao Deng · 1×

Countries citing papers authored by Hao Deng

Since Specialization
Citations

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

Fields of papers citing papers by Hao Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Deng. A scholar is included among the top collaborators of Hao Deng 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 Hao Deng. Hao Deng 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 0
2 1
3 0
4 1
5 18
6 4
7 1
8 1
9 2
10 7
11 15
12 2
13 8
14 1
15 2
16 38
17 17
18 17
19 6
20 88

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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