Zeming Fan

40 papers receiving 799 citations

Peers

Zeming Fan
Comparison fields: 5 of 88
  • Cognitive Neuroscience 326
  • Human-Computer Interaction 60
  • Signal Processing 101
  • Energy Engineering and Power Technology 20
  • Cellular and Molecular Neuroscience 104
Replace Takenao Sugi with:
Takenao Sugi Japan
Ye Wang United States
Jun Zhou China
Shi‐An Chen China
Ali Farzamnia Malaysia
Preeti Singh India
Muhammad Ibn Ibrahimy Malaysia
Huijun Li China
Ishtiaq Ahmad Australia
Mehmet Siraç Özerdem Türkiye
Zeming Fan relative to Takenao Sugi Japan Takenao Sugi's profile →
Citations per field
00.5×7.6×
Takenao Sugi · 1×
Citations per year

Countries citing papers authored by Zeming Fan

Since Specialization
Citations

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

Fields of papers citing papers by Zeming Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019153
2 2019124
3 202182
4 201870
5 202451
6 202147
7 201644
8 202442
9 202133
10 202026
11 202423
12 202219
13 201918
14 201914
15 202211
16 20187
17 20256
18 20176
19 20246
20 20245

About Zeming Fan

Zeming Fan is a scholar working on Control and Systems Engineering, Mechanical Engineering, Cognitive Neuroscience, Biomedical Engineering and Artificial Intelligence, having authored 44 papers that have together received 826 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Blind Source Separation Techniques (6 papers), Optical Coherence Tomography Applications (5 papers), Neuroscience and Neural Engineering (4 papers), Hydraulic and Pneumatic Systems (4 papers), Smart Agriculture and AI (4 papers), Neural Networks and Applications (4 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Cognitive Neuroscience (326 citations), Human-Computer Interaction (60 citations), Signal Processing (101 citations), Energy Engineering and Power Technology (20 citations) and Cellular and Molecular Neuroscience (104 citations). Zeming Fan has collaborated with scholars based in China, Singapore and Pakistan. Frequent co-authors include Xiaojun Yu, Muhammad Tariq Sadiq, Gaoxi Xiao, Zhaohui Yuan, Ateeq Ur Rehman, Guoqi Li, Muhammad Zulkifal Aziz, Inam Ullah, Hao Wan and Pengbo Wang. Their work appears in journals such as Computers and Electronics in Agriculture, IEEE Transactions on Instrumentation and Measurement, IEEE Access, Sensors and Measurement Science and Technology.

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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