Baihong Jin
- Electrical and Electronic Engineering
- Building and Construction top 10%
- Control and Systems Engineering
- Artificial Intelligence
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Alberto Sangiovanni‐VincentelliDan LiKameshwar PoollaSeshadhri SrinivasanYuxun ZhouCostas J. SpanosPierluigi NuzzoDai Wang
- Topics
- Anomaly Detection Techniques and Applications (4 papers)Building Energy and Comfort Optimization (3 papers)Smart Grid Energy Management (3 papers)
- Cited by
- Building and ConstructionIndustrial and Manufacturing EngineeringControl and Systems Engineering
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Baihong Jin
17 papers receiving 241 citations
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 99
- Building and Construction 64
- Control and Systems Engineering 52
- Artificial Intelligence 45
- Industrial and Manufacturing Engineering 33
Countries citing papers authored by Baihong Jin
This map shows the geographic impact of Baihong Jin'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 Baihong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baihong Jin more than expected).
Fields of papers citing papers by Baihong Jin
This network shows the impact of papers produced by Baihong Jin. 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 Baihong Jin. The network helps show where Baihong Jin may publish in the future.
Co-authorship network of co-authors of Baihong Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Baihong Jin. A scholar is included among the top collaborators of Baihong Jin 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 Baihong Jin. Baihong Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 29 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | 34 | |
| 10 | 18 | |
| 11 | 63 | |
| 12 | 24 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 4 |
About Baihong Jin
Baihong Jin is a scholar working on Hardware and Architecture, Conservation and Building and Construction, having authored 17 papers that have together received 250 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Building Energy and Comfort Optimization (3 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Building and Construction (64 citations), Industrial and Manufacturing Engineering (33 citations) and Control and Systems Engineering (52 citations). Baihong Jin has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Alberto Sangiovanni‐Vincentelli, Dan Li, Kameshwar Poolla, Seshadhri Srinivasan, Yuxun Zhou, Costas J. Spanos, Pierluigi Nuzzo, Dai Wang, Joyce Kim and Pan Li. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Power Systems and Energy and Buildings.
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.