Haijing Cao

713 total citations
39 papers, 580 citations indexed

About

Haijing Cao is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Artificial Intelligence. According to data from OpenAlex, Haijing Cao has authored 39 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 18 papers in Electronic, Optical and Magnetic Materials and 8 papers in Artificial Intelligence. Recurrent topics in Haijing Cao's work include Advancements in Battery Materials (19 papers), Supercapacitor Materials and Fabrication (18 papers) and Advanced battery technologies research (9 papers). Haijing Cao is often cited by papers focused on Advancements in Battery Materials (19 papers), Supercapacitor Materials and Fabrication (18 papers) and Advanced battery technologies research (9 papers). Haijing Cao collaborates with scholars based in China and Russia. Haijing Cao's co-authors include He‐Shan Song, Huiyu Li, Yanyan Zhu, Pengfei Li, Zebo Fang, Zhifang Zhang, Zhonghui Chen, Chenxiao Wu, Liming Tao and В. Д. Мазуров and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Materials Chemistry A and Environmental Pollution.

In The Last Decade

Haijing Cao

35 papers receiving 561 citations

Peers

Haijing Cao
Comparison fields: 5 of 78
  • Electrical and Electronic Engineering 244
  • Electronic, Optical and Magnetic Materials 207
  • Artificial Intelligence 176
  • Atomic and Molecular Physics, and Optics 119
  • Materials Chemistry 71
Replace S. Bhuvaneswari with:
S. Bhuvaneswari India
Fei Bian China
Cyril Muehlethaler Canada
Chong Li China
Chia‐Chi Huang Taiwan
Binyi Qin China
Zhengbing Zhang China
S. Bhuvaneswari India View profile →
Citations per field, relative to Haijing Cao
Haijing Cao · 1×
Citations per year, relative to Haijing Cao
Haijing Cao · 1×

Countries citing papers authored by Haijing Cao

Since Specialization
Citations

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

Fields of papers citing papers by Haijing Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijing Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Haijing Cao. A scholar is included among the top collaborators of Haijing Cao 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 Haijing Cao. Haijing Cao 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 1
2 1
3 0
4 0
5 5
6 8
7 6
8 5
9 0
10 1
11 6
12 14
13 14
14 14
15 66
16 12
17 12
18 55
19 20
20 47

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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