I-Hau Yeh

8.5k total citations · 1 hit paper
3 papers, 3.2k citations indexed

About

I-Hau Yeh is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, I-Hau Yeh has authored 3 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Control and Systems Engineering and 1 paper in Artificial Intelligence. Recurrent topics in I-Hau Yeh's work include Advanced Neural Network Applications (2 papers), Multimodal Machine Learning Applications (1 paper) and CCD and CMOS Imaging Sensors (1 paper). I-Hau Yeh is often cited by papers focused on Advanced Neural Network Applications (2 papers), Multimodal Machine Learning Applications (1 paper) and CCD and CMOS Imaging Sensors (1 paper). I-Hau Yeh collaborates with scholars based in Taiwan. I-Hau Yeh's co-authors include Hong-Yuan Mark Liao, Chien-Yao Wang, Ping-Yang Chen, Yueh-Hua Wu, Jun-Wei Hsieh, Yi‐Bing Lin, Hsun-Jung Cho, Yung‐Yu Chuang and Youn-Long Lin and has published in prestigious journals such as IEEE Open Journal of Intelligent Transportation Systems.

In The Last Decade

I-Hau Yeh

3 papers receiving 3.1k citations

Hit Papers

CSPNet: A New Backbone that can Enhance Learning Capabili... 2020 2026 2022 2024 2020 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I-Hau Yeh Taiwan 3 1.9k 487 478 360 333 3 3.2k
Yueh-Hua Wu Taiwan 3 1.9k 1.0× 487 1.0× 478 1.0× 359 1.0× 333 1.0× 6 3.2k
Ping-Yang Chen Taiwan 9 2.1k 1.1× 510 1.0× 525 1.1× 410 1.1× 343 1.0× 22 3.5k
Rongguang Ye China 4 2.3k 1.2× 656 1.3× 645 1.3× 417 1.2× 407 1.2× 5 3.7k
Zhaohui Zheng China 8 2.3k 1.2× 680 1.4× 646 1.4× 420 1.2× 463 1.4× 15 3.8k
Jun-Wei Hsieh Taiwan 17 2.6k 1.4× 531 1.1× 597 1.2× 559 1.6× 349 1.0× 44 4.2k
Peng Zheng China 5 2.0k 1.0× 304 0.6× 368 0.8× 426 1.2× 234 0.7× 5 3.6k
Jianyuan Guo China 15 2.9k 1.5× 534 1.1× 472 1.0× 646 1.8× 409 1.2× 22 4.6k
Zhong‐Qiu Zhao China 20 2.6k 1.3× 322 0.7× 390 0.8× 535 1.5× 343 1.0× 72 4.8k
Dongwei Ren China 19 3.6k 1.9× 676 1.4× 669 1.4× 1.0k 2.8× 408 1.2× 49 5.2k
Kai Han China 21 3.1k 1.6× 537 1.1× 474 1.0× 652 1.8× 406 1.2× 48 5.0k

Countries citing papers authored by I-Hau Yeh

Since Specialization
Citations

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

Fields of papers citing papers by I-Hau Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I-Hau Yeh. 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 I-Hau Yeh. The network helps show where I-Hau Yeh may publish in the future.

Co-authorship network of co-authors of I-Hau Yeh

This figure shows the co-authorship network connecting the top 25 collaborators of I-Hau Yeh. A scholar is included among the top collaborators of I-Hau Yeh 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 I-Hau Yeh. I-Hau Yeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Lin, Yi‐Bing, et al.. (2022). Prediction of Queue Dissipation Time for Mixed Traffic Flows With Deep Learning. IEEE Open Journal of Intelligent Transportation Systems. 3. 267–277. 12 indexed citations
2.
Wang, Chien-Yao, Hong-Yuan Mark Liao, I-Hau Yeh, Yung‐Yu Chuang, & Youn-Long Lin. (2021). Exploring the power of lightweight YOLOv4. 779–788. 6 indexed citations
3.
Wang, Chien-Yao, Hong-Yuan Mark Liao, Yueh-Hua Wu, et al.. (2020). CSPNet: A New Backbone that can Enhance Learning Capability of CNN. 1571–1580. 3149 indexed citations breakdown →

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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