Xinhao Wei

405 citations
9 papers · 296 · 1 hit paper · h-index 4

Impact in

Papers in

Xinhao Wei

6 papers receiving 288 citations

Xinhao Wei's Hit Papers

Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach 2022 · 241 citations
2410+1+2Years since publication50100150200

Peers

Xinhao Wei
Comparison fields: 5 of 58
  • Control and Systems Engineering 147
  • Computer Networks and Communications 107
  • Artificial Intelligence 89
  • Signal Processing 28
  • Water Science and Technology 34
Replace Morteza Mohammadi Zanjireh with:
Morteza Mohammadi Zanjireh Iran
Zhenyu Wu China
Saiful Izwan Suliman Malaysia
K. Anuradha India
Jianping Wang China
Tamara Zhukabayeva Kazakhstan
Yunchang Dong China
Lun Wang China
Xinhao Wei relative to Morteza Mohammadi Zanjireh Iran Morteza Mohammadi Zanjireh's profile →
Citations per field
00.5×5.8×
Morteza Mohammadi Zanjireh · 1×
Citations per year

Countries citing papers authored by Xinhao Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xinhao Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Xinhao Wei, 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 Xinhao Wei Line = papers co-authored together Xinhao Wei links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach
Hit paper breakdown →
2022241
2 201232
3 201213
4 20226
5
REMOVAL OF MALACHITE GREEN FROM AQUEOUS SOLUTION USING WASTE NEWSPAPER FIBER
20122
6 20242
7 20240
8 20250
9
Removal of High Concentration Sulfate Ion in Gold Mineral Dressing Wastewater
20100

About Xinhao Wei

Xinhao Wei is a scholar working on Artificial Intelligence, Geophysics, Water Science and Technology, Molecular Biology and Control and Systems Engineering, having authored 9 papers that have together received 296 indexed citations. Recurring topics across this work include Geophysical and Geoelectrical Methods (3 papers), Geochemistry and Geologic Mapping (3 papers), Geological and Geochemical Analysis (2 papers), Adsorption and biosorption for pollutant removal (2 papers), Dye analysis and toxicity (1 paper), Electrostatic Discharge in Electronics (1 paper), Smart Grid Security and Resilience (1 paper) and Water Quality Monitoring and Analysis (1 paper). The work is most often cited by research in Control and Systems Engineering (147 citations), Computer Networks and Communications (107 citations), Artificial Intelligence (89 citations), Signal Processing (28 citations) and Water Science and Technology (34 citations). Xinhao Wei has collaborated with scholars based in China, Azerbaijan and Singapore. Frequent co-authors include Yang Li, Yuanzheng Li, Zhao Yang Dong, Mohammad Shahidehpour, Jia Tan, Xiaoyu Zhang, Lijuan Wang, Xiaoyu Zhang, Lijuan Wang and Nannan Zhou. Their work appears in journals such as Geophysics, IEEE Transactions on Smart Grid, Carbohydrate Polymers, BioResources and Ore Geology Reviews.

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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