Fengda Zhang

476 citations
24 papers · 205 · h-index 5

Impact in

    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Stochastic Gradient Optimization Techniques
    • Domain Adaptation and Few-Shot Learning

Papers in

Fengda Zhang

18 papers receiving 197 citations

Peers

Fengda Zhang
Comparison fields: 5 of 44
  • Health Informatics 10
  • Artificial Intelligence 107
  • Computer Networks and Communications 49
  • Computational Mathematics 1
  • Information Systems 39
Replace Bernardo Camajori Tedeschini with:
Bernardo Camajori Tedeschini Italy
Ahmad Al Smadi China
K. S. Arikumar India
Umar Islam Pakistan
Ali Abdullah S. AlQahtani United States
Sanghyun Hong United States
Prohim Tam South Korea
Jian Pei United States
Zekun Shi China
Zhe Qu United States
Fengda Zhang relative to Bernardo Camajori Tedeschini Italy Bernardo Camajori Tedeschini's profile →
Citations per field
00.5×1.5×2.2×
Bernardo Camajori Tedeschini · 1×
Citations per year

Countries citing papers authored by Fengda Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Fengda Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fengda Zhang, 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 Fengda Zhang Line = papers co-authored together Fengda Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202288
2 202345
3 202324
4 202320
5 20197
6 20223
7 20193
8 20242
9 20242
10 20202
11 20222
12 20211
13 20241
14 20241
15 20231
16 20241
17 20231
18 20201
19
Failure Mechanism and Plastic Zone Distribution of Coal Mining Floor
20120
20 20230

About Fengda Zhang

Fengda Zhang is a scholar working on Artificial Intelligence, Mechanics of Materials, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 205 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Rock Mechanics and Modeling (5 papers), Geoscience and Mining Technology (3 papers), Geomechanics and Mining Engineering (3 papers), Reinforcement Learning in Robotics (2 papers), Traffic Prediction and Management Techniques (2 papers), Power Transformer Diagnostics and Insulation (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (107 citations), Computer Networks and Communications (49 citations), Computational Mathematics (1 citation) and Information Systems (39 citations). Fengda Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kun Kuang, Fei Wu, Chao Wu, Yueting Zhuang, Yang Yao, Tao Shen, Jiangchao Yao, Jianxin Ma, Jingren Zhou and Jianwei Zhang. Their work appears in journals such as International Journal of Mining and Mineral Engineering, Scientific Reports, Mine Water and the Environment, Patterns and Frontiers in Energy Research.

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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