Hanqi Zhuang

4.1k total citations
168 papers, 2.9k citations indexed

About

Hanqi Zhuang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hanqi Zhuang has authored 168 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Control and Systems Engineering, 52 papers in Mechanical Engineering and 50 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hanqi Zhuang's work include Robotic Mechanisms and Dynamics (51 papers), Advanced Measurement and Metrology Techniques (47 papers) and Optical measurement and interference techniques (25 papers). Hanqi Zhuang is often cited by papers focused on Robotic Mechanisms and Dynamics (51 papers), Advanced Measurement and Metrology Techniques (47 papers) and Optical measurement and interference techniques (25 papers). Hanqi Zhuang collaborates with scholars based in United States, Iraq and Saudi Arabia. Hanqi Zhuang's co-authors include Zvi S. Roth, Oren Masory, R. Sudhakar, Fumio Hamano, Ali K. Ibrahim, Yan Meng, Nurgün Erdöl, Ali Muhamed Ali, Laurent M. Chérubin and Lixin Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Hanqi Zhuang

153 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hanqi Zhuang United States 32 1.4k 1.1k 942 429 328 168 2.9k
Benedetto Allotta Italy 31 633 0.4× 882 0.8× 545 0.6× 600 1.4× 827 2.5× 209 3.3k
Mário F. M. Campos Brazil 30 513 0.4× 459 0.4× 2.5k 2.6× 301 0.7× 834 2.5× 150 3.6k
Frank C. Park South Korea 29 1.7k 1.1× 551 0.5× 742 0.8× 962 2.2× 359 1.1× 96 3.3k
Luís Moreno Spain 26 532 0.4× 244 0.2× 1.5k 1.6× 510 1.2× 851 2.6× 188 2.9k
Hyun Myung South Korea 33 486 0.3× 304 0.3× 1.7k 1.8× 362 0.8× 1.7k 5.3× 271 4.1k
Edwin Olson United States 28 697 0.5× 383 0.4× 2.2k 2.3× 286 0.7× 2.2k 6.8× 72 4.2k
Zhengxing Wu China 33 511 0.4× 263 0.2× 674 0.7× 599 1.4× 1.4k 4.2× 174 3.2k
Stephen M. Rock United States 29 931 0.6× 394 0.4× 1.4k 1.4× 270 0.6× 1.5k 4.7× 150 3.1k
Se‐Young Oh South Korea 22 442 0.3× 262 0.2× 900 1.0× 132 0.3× 1.5k 4.7× 129 2.8k
Paul S. Schenker United States 22 472 0.3× 726 0.7× 737 0.8× 427 1.0× 507 1.5× 120 1.7k

Countries citing papers authored by Hanqi Zhuang

Since Specialization
Citations

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

Fields of papers citing papers by Hanqi Zhuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanqi Zhuang

This figure shows the co-authorship network connecting the top 25 collaborators of Hanqi Zhuang. A scholar is included among the top collaborators of Hanqi Zhuang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hanqi Zhuang. Hanqi Zhuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhuang, Hanqi, et al.. (2025). Mamba vision models: Automated American sign language recognition. Franklin Open. 10. 100224–100224. 1 indexed citations
2.
Zhuang, Hanqi, et al.. (2025). A Multimodal Multi-Stage Deep Learning Model for the Diagnosis of Alzheimer’s Disease Using EEG Measurements. Neurology International. 17(6). 91–91. 1 indexed citations
3.
Alshammari, Thamer, et al.. (2025). Finger Knuckle Print classification: Leveraging vision Mamba for low complexity and high accuracy. Franklin Open. 11. 100261–100261. 1 indexed citations
4.
5.
McMahon, Sharon, et al.. (2025). Unpacking Generative AI in Education: Computational Modeling of Teacher and Student Perspectives in Social Media Discourse. IEEE Transactions on Computational Social Systems. 1–13.
6.
Ibrahim, Ali K., Hanqi Zhuang, Michelle Schärer‐Umpierre, et al.. (2024). Fish Acoustic Detection Algorithm Research: a deep learning app for Caribbean grouper calls detection and call types classification. Frontiers in Marine Science. 11. 3 indexed citations
7.
Ali, Ali Muhamed, et al.. (2024). Ocean Currents Velocity Hindcast and Forecast Bias Correction Using a Deep-Learning Approach. Journal of Marine Science and Engineering. 12(9). 1680–1680. 2 indexed citations
8.
Ibrahim, Ali K., et al.. (2024). Identification of Gene Expression in Different Stages of Breast Cancer with Machine Learning. Cancers. 16(10). 1864–1864. 7 indexed citations
9.
Zhuang, Hanqi, et al.. (2023). Exploration of the Relevance of MicroRNA Signatures for Cancer Detection and Multiclass Cancer Classification. IEEE Access. 11. 57268–57284. 3 indexed citations
10.
Zhuang, Hanqi, et al.. (2022). Measurements, Analysis, Classification, and Detection of Gunshot and Gunshot-like Sounds. Sensors. 22(23). 9170–9170. 7 indexed citations
11.
Ali, Ali Muhamed, Hanqi Zhuang, James VanZwieten, Ali K. Ibrahim, & Laurent M. Chérubin. (2021). A Deep Learning Model for Forecasting Velocity Structures of the Loop Current System in the Gulf of Mexico. SHILAP Revista de lepidopterología. 3(4). 934–953. 6 indexed citations
12.
Brewster, Lauran R., et al.. (2021). Classifying Goliath Grouper (Epinephelus itajara) Behaviors from a Novel, Multi-Sensor Tag. Sensors. 21(19). 6392–6392. 5 indexed citations
13.
Zhuang, Hanqi, et al.. (2021). Data Collection, Modeling, and Classification for Gunshot and Gunshot-like Audio Events: A Case Study. Sensors. 21(21). 7320–7320. 8 indexed citations
14.
Wang, Justin, Hanqi Zhuang, Laurent M. Chérubin, Ali Muhamed Ali, & Ali K. Ibrahim. (2021). Loop Current SSH Forecasting: A New Domain Partitioning Approach for a Machine Learning Model. SHILAP Revista de lepidopterología. 3(3). 570–579. 7 indexed citations
15.
Huang, Yu, Yufei Tang, Hanqi Zhuang, James VanZwieten, & Laurent M. Chérubin. (2021). Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current. Frontiers in Artificial Intelligence. 4. 780271–780271. 9 indexed citations
16.
Wang, Justin, Hanqi Zhuang, Laurent M. Chérubin, Ali K. Ibrahim, & Ali Muhamed Ali. (2019). Medium‐Term Forecasting of Loop Current Eddy Cameron and Eddy Darwin Formation in the Gulf of Mexico With a Divide‐and‐Conquer Machine Learning Approach. Journal of Geophysical Research Oceans. 124(8). 5586–5606. 22 indexed citations
17.
Zhuang, Hanqi, et al.. (2007). Application of Illumination Compensation for Face Recognition.. 255–261. 1 indexed citations
18.
Bai, Ying, Hanqi Zhuang, & Dali Wang. (2006). Advanced Fuzzy Logic Technologies in Industrial Applications (Advances in Industrial Control). Springer eBooks. 9 indexed citations
19.
Zhuang, Hanqi, et al.. (2000). Self-calibration of Laser Tracking Systems. The International Journal of Robotics Research. 2 indexed citations
20.
Hamano, Fumio, Zvi S. Roth, & Hanqi Zhuang. (1989). Kinematic modeling, identification and compensation of robot manipulators. 17 indexed citations

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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