Zhiming Xuan

934 citations
9 papers · 747 indexed · 1 hit paper · h-index 6

Zhiming Xuan

8 papers receiving 722 citations

Hit Papers

A day-ahead PV power forecasting method based on LSTM-RNN...4832020202620222024100200300400

Peers

Zhiming Xuan
Comparison fields: 5 of 61
  • Renewable Energy, Sustainability and the Environment 350
  • Energy Engineering and Power Technology 52
  • Artificial Intelligence 483
  • Electrical and Electronic Engineering 552
  • Management Science and Operations Research 56
Replace Shi Su with:
Shi Su China
Yili Yu China
Razin Ahmed Bangladesh
Muammer Din Arif Malaysia
Muhammad Naveed Akhter Pakistan
Hangxia Zhou China
Fermín Rodríguez Spain
Ashraf Ul Haque United States
Spyros Theocharides Cyprus
Luyao Liu China
Zhiming Xuan relative to Shi Su China Shi Su's profile →
Citations per field
00.5×3.4×
Shi Su · 1×
Citations per year

Countries citing papers authored by Zhiming Xuan

Since Specialization
Citations

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

Fields of papers citing papers by Zhiming Xuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Zhiming Xuan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhiming Xuan Line = papers co-authored together Zhiming Xuan links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20226
2 20201
3 2020122
4 20207
5 20202
6 202070
7
A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction frameworkbreakdown →
2020483
8 20193
9 201953

About Zhiming Xuan

Zhiming Xuan is a scholar working on Renewable Energy, Sustainability and the Environment, Management Science and Operations Research and Artificial Intelligence, having authored 9 papers that have together received 747 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (4 papers), Energy Load and Power Forecasting (4 papers), Photovoltaic System Optimization Techniques (4 papers), Solar Thermal and Photovoltaic Systems (3 papers), Grey System Theory Applications (2 papers), Electric Power System Optimization (2 papers), Image and Signal Denoising Methods (1 paper) and Smart Grid Energy Management (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (350 citations), Energy Engineering and Power Technology (52 citations) and Artificial Intelligence (483 citations). Zhiming Xuan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fei Wang, Kangping Li, Zhao Zhen, Tieqiang Wang, Min Shi, João P. S. Catalào, Yu Li, Liqiang Zhao, Miadreza Shafie‐khah and Xinxin Ge. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and IEEE Access.

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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