Zhecheng Wang

707 total citations · 1 hit paper
10 papers, 446 citations indexed

About

Zhecheng Wang is a scholar working on Pollution, Global and Planetary Change and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhecheng Wang has authored 10 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pollution, 4 papers in Global and Planetary Change and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhecheng Wang's work include Energy and Environment Impacts (4 papers), Solar Radiation and Photovoltaics (3 papers) and Geographic Information Systems Studies (2 papers). Zhecheng Wang is often cited by papers focused on Energy and Environment Impacts (4 papers), Solar Radiation and Photovoltaics (3 papers) and Geographic Information Systems Studies (2 papers). Zhecheng Wang collaborates with scholars based in United States, Germany and China. Zhecheng Wang's co-authors include Ram Rajagopal, Arun Majumdar, Jiafan Yu, Haoyuan Li, Dirk Neumann, Jiajun Wu, Chad Zanocco, Michael W. Wara, June A. Flora and Jackelyn Hwang and has published in prestigious journals such as Nature Communications, Applied Energy and Nature Energy.

In The Last Decade

Zhecheng Wang

10 papers receiving 427 citations

Hit Papers

SkyScript: A Large and Se... 2024 2026 2024 10 20 30

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhecheng Wang United States 9 204 132 111 91 84 10 446
Mark Rylatt United Kingdom 11 110 0.5× 46 0.3× 99 0.9× 11 0.1× 140 1.7× 17 461
Roberto Chiabrando Italy 6 55 0.3× 86 0.7× 26 0.2× 61 0.7× 128 1.5× 9 353
Roberto Castello Switzerland 8 155 0.8× 54 0.4× 58 0.5× 13 0.1× 122 1.5× 15 319
Guo Qingsheng China 9 71 0.3× 54 0.4× 9 0.1× 54 0.6× 62 0.7× 67 407
Lijian Sun China 11 99 0.5× 82 0.6× 35 0.3× 21 0.2× 52 0.6× 17 350
Litao Wang China 9 43 0.2× 35 0.3× 20 0.2× 18 0.2× 73 0.9× 26 473
Stefano Grassi Switzerland 10 103 0.5× 52 0.4× 43 0.4× 5 0.1× 99 1.2× 14 383
Kai Mainzer Germany 9 154 0.8× 86 0.7× 131 1.2× 6 0.1× 95 1.1× 16 490
Jeong Kim South Korea 9 138 0.7× 51 0.4× 95 0.9× 3 0.0× 79 0.9× 20 461
Mei Yuan United States 10 73 0.4× 49 0.4× 110 1.0× 24 0.3× 67 0.8× 15 482

Countries citing papers authored by Zhecheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhecheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhecheng Wang

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

All Works

10 of 10 papers shown
1.
Zanocco, Chad, Zhecheng Wang, June A. Flora, et al.. (2024). Exploring the potential of non-residential solar to tackle energy injustice. Nature Energy. 9(6). 654–663. 18 indexed citations
2.
Wang, Zhecheng, et al.. (2024). SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5805–5813. 39 indexed citations breakdown →
3.
Wang, Zhecheng, Arun Majumdar, & Ram Rajagopal. (2023). Geospatial mapping of distribution grid with machine learning and publicly-accessible multi-modal data. Nature Communications. 14(1). 5006–5006. 10 indexed citations
4.
Wang, Zhecheng, Michael W. Wara, Arun Majumdar, & Ram Rajagopal. (2023). Local and utility-wide cost allocations for a more equitable wildfire-resilient distribution grid. Nature Energy. 8(10). 1097–1108. 8 indexed citations
5.
Wang, Zhecheng, et al.. (2022). 3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D. Applied Energy. 310. 118469–118469. 35 indexed citations
6.
Wang, Zhecheng, et al.. (2022). Detecting Neighborhood Gentrification at Scale via Street-level Visual Data. 2022 IEEE International Conference on Big Data (Big Data). 1632–1640. 4 indexed citations
7.
Wang, Zhecheng, et al.. (2022). DeepSolar++: Understanding residential solar adoption trajectories with computer vision and technology diffusion models. Joule. 6(11). 2611–2625. 26 indexed citations
9.
Wang, Zhecheng, Haoyuan Li, & Ram Rajagopal. (2020). Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 1013–1020. 48 indexed citations
10.
Yu, Jiafan, Zhecheng Wang, Arun Majumdar, & Ram Rajagopal. (2018). DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States. Joule. 2(12). 2605–2617. 238 indexed citations

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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