Chang Gao
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence top 5%
- Topics
- Ferroelectric and Piezoelectric Materials (13 papers)Advanced Memory and Neural Computing (11 papers)Dielectric materials and actuators (9 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Partner nations
- ChinaNetherlandsSwitzerland
In The Last Decade
Chang Gao
59 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Electrical and Electronic Engineering 381
- Materials Chemistry 285
- Computer Vision and Pattern Recognition 230
- Biomedical Engineering 221
- Artificial Intelligence 214
Countries citing papers authored by Chang Gao
This map shows the geographic impact of Chang Gao'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 Chang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Gao more than expected).
Fields of papers citing papers by Chang Gao
This network shows the impact of papers produced by Chang Gao. 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 Chang Gao. The network helps show where Chang Gao may publish in the future.
Co-authorship network of co-authors of Chang Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Gao. A scholar is included among the top collaborators of Chang Gao 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 Chang Gao. Chang Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | Novel high-entropy perovskite titanate: A potential thermal protective material with improved thermophysical propertiesbreakdown → | 90 |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 29 | |
| 14 | 17 | |
| 15 | 20 | |
| 16 | 6 | |
| 17 | 40 | |
| 18 | 26 | |
| 19 | 22 | |
| 20 | 35 |
About Chang Gao
Chang Gao is a scholar working on Signal Processing, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (13 papers), Advanced Memory and Neural Computing (11 papers) and Dielectric materials and actuators (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (63 citations), Computer Vision and Pattern Recognition (230 citations) and Signal Processing (88 citations). Chang Gao has collaborated with scholars based in China, Netherlands and Switzerland. Frequent co-authors include Shih‐Chii Liu, Tobi Delbrück, Yizhou Yu, Xiaoguang Han, Weidong Fei, Qinyu Chen, Weili Li, Menglu Li, Daniel Neil and Enea Ceolini. Their work appears in journals such as Advanced Materials, Nature Communications and Advanced Functional Materials.
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.