C.R. Hema

35 papers receiving 338 citations

Peers

C.R. Hema
Comparison fields: 5 of 84
  • Human-Computer Interaction 86
  • Cognitive Neuroscience 199
  • Signal Processing 57
  • Cellular and Molecular Neuroscience 69
  • Analytical Chemistry 27
Replace Shuyue Jia with:
Shuyue Jia China
Ayşegül Güven Türkiye
Yoshikazu Washizawa Japan
Shubham Dodia India
Ming Meng China
Tatsuyuki Kawamura Japan
Ignas Martišius Lithuania
Önder Aydemir Türkiye
Ashkan Yazdani Switzerland
Montri Phothisonothai Thailand
C.R. Hema relative to Shuyue Jia China Shuyue Jia's profile →
Citations per field
00.5×
Shuyue Jia · 1×
Citations per year

Countries citing papers authored by C.R. Hema

Since Specialization
Citations

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

Fields of papers citing papers by C.R. Hema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.R. Hema. 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 C.R. Hema. The network helps show where C.R. Hema may publish in the future.

Co-authors

The 17 scholars most cited alongside C.R. Hema, 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 C.R. Hema Line = papers co-authored together C.R. Hema links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202356
2 200846
3 201544
4
Color recognition algorithm using a neural network model in determining the ripeness of a Banana
200936
5 200834
6 201114
7 201013
8 200713
9 200712
10 20149
11 20138
12 20098
13 20088
14 20077
15 20066
16 20085
17 20104
18 20144
19 20134
20 20103

About C.R. Hema

C.R. Hema is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 38 papers that have together received 359 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (26 papers), Neuroscience and Neural Engineering (11 papers), Blind Source Separation Techniques (9 papers), Neural dynamics and brain function (6 papers), Gaze Tracking and Assistive Technology (5 papers), Neural Networks and Applications (5 papers), Advanced Memory and Neural Computing (5 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Human-Computer Interaction (86 citations), Cognitive Neuroscience (199 citations), Signal Processing (57 citations), Cellular and Molecular Neuroscience (69 citations) and Analytical Chemistry (27 citations). C.R. Hema has collaborated with scholars based in Malaysia, India and United States. Frequent co-authors include M.P. Paulraj, Fausto Pedro Garcı́a Márquez, Abdul Hamid Adom, Kamalraj Subramaniam, Sazali Yaacob, R. Nagarajan, Ahmed Osman, Hazry Desa, Sazali Yaacob and R. Nagarajan. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Advances in experimental medicine and biology, Applied Acoustics, Biomedical Signal Processing and Control and International Journal of Computer Aided Engineering 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.

Explore authors with similar magnitude of impact