Heng Shi

22 total papers · 1.3k total citations
15 papers, 941 citations indexed

About

Heng Shi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Heng Shi has authored 15 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Heng Shi's work include Smart Grid Energy Management (6 papers), Energy Load and Power Forecasting (5 papers) and Parallel Computing and Optimization Techniques (3 papers). Heng Shi is often cited by papers focused on Smart Grid Energy Management (6 papers), Energy Load and Power Forecasting (5 papers) and Parallel Computing and Optimization Techniques (3 papers). Heng Shi collaborates with scholars based in United Kingdom, China and United States. Heng Shi's co-authors include Ran Li, Minghao Xu, Furong Li, Chi Zhang, Zhaoyu Wang, Kang Ma, Ignacio Hernando‐Gil, Matti Lehtonen, Sasa Djokic and Furong Li and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Access and IEEE Transactions on Smart Grid.

In The Last Decade

Heng Shi

12 papers receiving 918 citations

Hit Papers

Deep Learning for Househo... 2017 2026 2020 2023 2017 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Heng Shi 823 197 196 186 159 15 941
Minghao Xu 866 1.1× 197 1.0× 198 1.0× 173 0.9× 149 0.9× 13 980
Jingrui Xie 804 1.0× 108 0.5× 208 1.1× 270 1.5× 100 0.6× 14 872
Seunghyoung Ryu 711 0.9× 134 0.7× 197 1.0× 92 0.5× 134 0.8× 21 967
Ali Fiaz 604 0.7× 177 0.9× 243 1.2× 222 1.2× 97 0.6× 7 959
Qin Wang 624 0.8× 165 0.8× 204 1.0× 142 0.8× 121 0.8× 20 1.1k
Oveis Abedinia 798 1.0× 86 0.4× 320 1.6× 136 0.7× 120 0.8× 17 1.2k
Stephen Haben 785 1.0× 158 0.8× 157 0.8× 101 0.5× 50 0.3× 27 1.0k
Chia-Nan Ko 557 0.7× 96 0.5× 354 1.8× 239 1.3× 135 0.8× 36 995
Xueheng Qiu 542 0.7× 91 0.5× 313 1.6× 292 1.6× 131 0.8× 14 969
Kuang‐Rong Shih 738 0.9× 63 0.3× 189 1.0× 250 1.3× 76 0.5× 10 810

Countries citing papers authored by Heng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Heng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Heng Shi. A scholar is included among the top collaborators of Heng Shi 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 Heng Shi. Heng Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026