Chi Guo
Impact in
- Automotive Engineering top 2%
- Advanced Battery Technologies Research
-
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Indoor and Outdoor Localization Technologies
Papers in
-
- Advanced Image and Video Retrieval Techniques 13
- Multimodal Machine Learning Applications 10
-
- Advancements in Battery Materials 16
- Advanced Battery Materials and Technologies 12
- Co-authors
- Jiyuan Liang (10 shared papers)Runming Tao (10 shared papers)Wenfei Guo (14 shared papers)Yaqing Guo (6 shared papers)Kang Du (6 shared papers)Deyu Wang (5 shared papers)Jingnan Liu (11 shared papers)Shih‐Yuan Lu (3 shared papers)
- Journals
- Energy storage materials (4 papers)Nano Energy (3 papers)Applied Intelligence (3 papers)Neurocomputing (3 papers)Remote Sensing (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chi Guo
104 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 124
- Automotive Engineering 350
- Electrical and Electronic Engineering 835
- Computer Vision and Pattern Recognition 275
- Aerospace Engineering 277
- Electronic, Optical and Magnetic Materials 123
Countries citing papers authored by Chi Guo
This map shows the geographic impact of Chi Guo'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 Chi Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Guo more than expected).
Fields of papers citing papers by Chi Guo
This network shows the impact of papers produced by Chi Guo. 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 Chi Guo. The network helps show where Chi Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 177 | |
| 2 | 2023 | 112 | |
| 3 | 2023 | 109 | |
| 4 | 2022 | 105 | |
| 5 | 2005 | 95 | |
| 6 | 2011 | 76 | |
| 7 | 2022 | 70 | |
| 8 | 2022 | 53 | |
| 9 | 2024 | 50 | |
| 10 | 2022 | 50 | |
| 11 | 2020 | 47 | |
| 12 | 2021 | 47 | |
| 13 | 2021 | 40 | |
| 14 | 2021 | 37 | |
| 15 | 2021 | 35 | |
| 16 | 2023 | 33 | |
| 17 | 2023 | 30 | |
| 18 | 2021 | 25 | |
| 19 | 2016 | 25 | |
| 20 | 2015 | 23 |
About Chi Guo
Chi Guo is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence and Automotive Engineering, having authored 116 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advancements in Battery Materials (16 papers), Advanced Image and Video Retrieval Techniques (13 papers), Advanced Battery Materials and Technologies (12 papers), Inertial Sensor and Navigation (11 papers), Robotics and Sensor-Based Localization (11 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), GNSS positioning and interference (10 papers) and Multimodal Machine Learning Applications (10 papers). The work is most often cited by research in Automotive Engineering (350 citations), Electrical and Electronic Engineering (835 citations), Computer Vision and Pattern Recognition (275 citations), Aerospace Engineering (277 citations) and Electronic, Optical and Magnetic Materials (123 citations). Chi Guo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiyuan Liang, Runming Tao, Wenfei Guo, Yaqing Guo, Kang Du, Deyu Wang, Jingnan Liu, Shih‐Yuan Lu, Hangbin Wu and Xiaolang Liu. Their work appears in journals such as Energy storage materials, Nano Energy, Applied Intelligence, Neurocomputing and Remote Sensing.
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.