Hai Ci

701 citations
13 papers · 337 · h-index 6

Impact in

Papers in

Hai Ci

12 papers receiving 330 citations

Peers

Hai Ci
Comparison fields: 5 of 39
  • Human-Computer Interaction 83
  • Computer Vision and Pattern Recognition 304
  • Endocrinology, Diabetes and Metabolism 44
  • Biomedical Engineering 106
  • Control and Systems Engineering 55
Replace Xiaoxuan Ma with:
Xiaoxuan Ma China
Spyridon Leonardos United States
Tianhan Xu Japan
Fu Xiong Singapore
Isinsu Katircioglu Switzerland
Lin Geng Foo Singapore
Runyang Feng China
Wending Yan Singapore
Bastian Wandt Germany
Hai Ci relative to Xiaoxuan Ma China Xiaoxuan Ma's profile →
Citations per field
00.5×1.5×
Xiaoxuan Ma · 1×
Citations per year

Countries citing papers authored by Hai Ci

Since Specialization
Citations

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

Fields of papers citing papers by Hai Ci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2019162
2 202146
3 202044
4 202338
5 202333
6 20215
7 20243
8 20242
9 20181
10 20241
11 20251
12 20191
13 20210

About Hai Ci

Hai Ci is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction, Electrical and Electronic Engineering and Sociology and Political Science, having authored 13 papers that have together received 337 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Hand Gesture Recognition Systems (3 papers), Microgrid Control and Optimization (2 papers), Human Motion and Animation (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), 3D Shape Modeling and Analysis (1 paper), Silicon Carbide Semiconductor Technologies (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Human-Computer Interaction (83 citations), Computer Vision and Pattern Recognition (304 citations), Endocrinology, Diabetes and Metabolism (44 citations), Biomedical Engineering (106 citations) and Control and Systems Engineering (55 citations). Hai Ci has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yizhou Wang, Xiaoxuan Ma, Chunyu Wang, Jiajun Su, Wentao Zhu, Fangwei Zhong, Hao Dong, Xiaoxuan Ma, Yuan Xu and Qi Tian. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Nanomedicine, Pteridines, 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) and Urban Planning International.

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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