Cheng Chi

1.5k total citations
31 papers, 690 citations indexed

About

Cheng Chi is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cheng Chi has authored 31 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 14 papers in Biomedical Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cheng Chi's work include Advancements in Photolithography Techniques (9 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Nanofabrication and Lithography Techniques (5 papers). Cheng Chi is often cited by papers focused on Advancements in Photolithography Techniques (9 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Nanofabrication and Lithography Techniques (5 papers). Cheng Chi collaborates with scholars based in China, United States and Singapore. Cheng Chi's co-authors include Ning Xue, Zhen Lei, Stan Z. Li, Xuguang Sun, Tong Li, Chang Liu, Xudong Zou, Junliang Xing, Shifeng Zhang and Shifeng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Optics Express.

In The Last Decade

Cheng Chi

28 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Chi China 9 268 267 152 110 108 31 690
Trung X. Pham South Korea 10 298 1.1× 153 0.6× 116 0.8× 115 1.0× 40 0.4× 17 573
Sunghun Kang South Korea 8 247 0.9× 122 0.5× 96 0.6× 107 1.0× 36 0.3× 11 453
Chien‐Hung Lin Taiwan 14 271 1.0× 64 0.2× 185 1.2× 231 2.1× 49 0.5× 58 797
Junyeong Kim South Korea 7 251 0.9× 146 0.5× 97 0.6× 88 0.8× 36 0.3× 23 469
Hyunsin Park South Korea 9 377 1.4× 114 0.4× 159 1.0× 131 1.2× 45 0.4× 16 659
Wonjun Hwang South Korea 17 297 1.1× 460 1.7× 54 0.4× 96 0.9× 122 1.1× 65 1.1k
Chang Gao China 19 221 0.8× 230 0.9× 94 0.6× 381 3.5× 285 2.6× 70 1.1k
Yongwoo Kim South Korea 11 473 1.8× 155 0.6× 100 0.7× 167 1.5× 47 0.4× 54 797
Qihua Liang China 15 311 1.2× 196 0.7× 70 0.5× 139 1.3× 43 0.4× 51 690

Countries citing papers authored by Cheng Chi

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Chi. A scholar is included among the top collaborators of Cheng Chi 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 Cheng Chi. Cheng Chi 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.
Chi, Cheng, et al.. (2025). Single image dehazing via fine-scale perception network. Neurocomputing. 640. 130356–130356.
2.
Chen, Shengdong, Cheng Chi, Weiwei Zhu, et al.. (2024). Factor structure of the Chinese version of Emotion Regulation Goals Scale. Frontiers in Psychology. 15. 1392879–1392879. 1 indexed citations
3.
Chi, Cheng, et al.. (2021). Improving Mapping Efficiency Using a Coprime Dual-Frequency Method for Synthetic Aperture Sonars. OCEANS 2021: San Diego – Porto. 1–5.
4.
Zhang, Shifeng, Cheng Chi, Zhen Lei, & Stan Z. Li. (2020). RefineFace: Refinement Neural Network for High Performance Face Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(11). 4008–4020. 63 indexed citations
5.
Chi, Cheng, Fangyun Wei, & Han Hu. (2020). RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder. Neural Information Processing Systems. 33. 13564–13574. 7 indexed citations
6.
Chi, Cheng, Shifeng Zhang, Junliang Xing, et al.. (2020). Relational Learning for Joint Head and Human Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 10647–10654. 35 indexed citations
7.
Chi, Cheng, Shifeng Zhang, Junliang Xing, et al.. (2019). Selective Refinement Network for High Performance Face Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8231–8238. 92 indexed citations
8.
Guo, Jing, Dustin W. Janes, Yann Mignot, et al.. (2019). LCDU improvement of EUV-patterned vias with DSA. 38. 22–22. 1 indexed citations
9.
Chi, Cheng, et al.. (2018). A Flexible Tactile Sensor With Good Consistency. IEEE Access. 6. 51647–51654. 5 indexed citations
10.
Liu, Chi‐Chun, Yann Mignot, Ruilong Xie, et al.. (2018). Directed self-assembly of block copolymers for 7 nanometre FinFET technology and beyond. Nature Electronics. 1(10). 562–569. 110 indexed citations
11.
Liu, Chang, et al.. (2018). A Self-Supervised Learning Manipulator Grasping Approach Based on Instance Segmentation. IEEE Access. 6. 65055–65064. 8 indexed citations
12.
Li, Tong, Cheng Chi, Chunkai Wang, et al.. (2018). Real-Time and Autonomous Grasping Operation of Manipulator Based on Tactile Sensor Array. 732–736. 2 indexed citations
13.
Sun, Xuguang, Chunkai Wang, Cheng Chi, Ning Xue, & Chang Liu. (2018). A highly-sensitive flexible tactile sensor array utilizing piezoresistive carbon nanotube–polydimethylsiloxane composite. Journal of Micromechanics and Microengineering. 28(10). 105011–105011. 33 indexed citations
14.
Chi, Cheng, Xuguang Sun, Ning Xue, Tong Li, & Chang Liu. (2018). Recent Progress in Technologies for Tactile Sensors. Sensors. 18(4). 948–948. 190 indexed citations
15.
Seshadri, Indira, Anuja De Silva, Luciana Meli, et al.. (2017). Ultrathin EUV patterning stack using polymer brush as an adhesion promotion layer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10143. 101431D–101431D. 3 indexed citations
16.
Lai, Kafai, et al.. (2017). Advanced fast 3D DSA model development and calibration for design technology co-optimization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10144. 101440H–101440H.
17.
Chi, Cheng, Chi‐Chun Liu, Luciana Meli, et al.. (2017). Electrical study of DSA shrink process and CD rectification effect at sub-60nm using EUV test vehicle. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10146. 101460Q–101460Q. 2 indexed citations
18.
Chi, Cheng, Chi‐Chun Liu, Luciana Meli, et al.. (2016). DSA via hole shrink for advanced node applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9777. 97770L–97770L. 6 indexed citations
19.
Torres, J. Andres, Fan Jiang, Yuansheng Ma, et al.. (2015). Directed self assembly on resist-limited guiding patterns for hole grapho-epitaxy: Can DSA help lower EUV's source power requirements?. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9422. 94220W–94220W. 2 indexed citations
20.
Chi, Cheng, et al.. (1995). Coal log abrasion in pipelines. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 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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