Huaijin Chen

663 total citations
11 papers, 301 citations indexed

About

Huaijin Chen is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Media Technology. According to data from OpenAlex, Huaijin Chen has authored 11 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Instrumentation and 4 papers in Media Technology. Recurrent topics in Huaijin Chen's work include Advanced Optical Sensing Technologies (4 papers), Image Processing Techniques and Applications (4 papers) and CCD and CMOS Imaging Sensors (2 papers). Huaijin Chen is often cited by papers focused on Advanced Optical Sensing Technologies (4 papers), Image Processing Techniques and Applications (4 papers) and CCD and CMOS Imaging Sensors (2 papers). Huaijin Chen collaborates with scholars based in United States, China and Hong Kong. Huaijin Chen's co-authors include Ashok Veeraraghavan, Vivek Boominathan, Aswin C. Sankaranarayanan, Yicheng Wu, Kuan He, Oliver Cossairt, Jinwei Gu, Yawen Lu, Yingjie Chen and Fengqiang Li and has published in prestigious journals such as Optics Express, IEEE Transactions on Computational Imaging and arXiv (Cornell University).

In The Last Decade

Huaijin Chen

11 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huaijin Chen United States	9	150	75	74	71	70	11	301
Qilin Sun Saudi Arabia	7	158 1.1×	151 2.0×	130 1.8×	44 0.6×	45 0.6×	10	328
Leonidas Spinoulas United States	9	94 0.6×	43 0.6×	112 1.5×	94 1.3×	28 0.4×	22	295
Fengqiang Li United States	11	95 0.6×	76 1.0×	131 1.8×	40 0.6×	147 2.1×	26	388
Lingtong Meng China	6	71 0.5×	108 1.4×	93 1.3×	39 0.5×	54 0.8×	21	310
Vage Taamazyan Russia	4	205 1.4×	45 0.6×	110 1.5×	22 0.3×	39 0.6×	8	293
Shuochen Su Canada	7	508 3.4×	235 3.1×	70 0.9×	31 0.4×	89 1.3×	9	613
Mali Gong China	10	41 0.3×	47 0.6×	156 2.1×	91 1.3×	39 0.6×	25	302
Julie Chang United States	5	98 0.7×	89 1.2×	90 1.2×	263 3.7×	48 0.7×	5	480
Yuchen He China	9	75 0.5×	119 1.6×	68 0.9×	31 0.4×	43 0.6×	43	303
Chenjin Deng China	8	99 0.7×	162 2.2×	71 1.0×	26 0.4×	78 1.1×	11	364

Countries citing papers authored by Huaijin Chen

Since Specialization

Citations

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

Fields of papers citing papers by Huaijin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaijin Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Lu, Yawen, Qifan Wang, Siqi Ma, et al.. (2023). TransFlow: Transformer as Flow Learner. 18063–18073. 51 indexed citations

2.

Feng, Ruicheng, Chongyi Li, Huaijin Chen, et al.. (2023). Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera. 5013–5022. 13 indexed citations

3.

Chen, Huaijin, et al.. (2022). Deep camera obscura: an image restoration pipeline for pinhole photography. Optics Express. 30(15). 27214–27214. 8 indexed citations

4.

Chen, Huaijin, et al.. (2021). iToF2dToF: A Robust and Flexible Representation for Data-Driven Time-of-Flight Imaging. arXiv (Cornell University). 20 indexed citations

5.

Chen, Huaijin, et al.. (2019). Fast Retinomorphic Event-Driven Representations for Video Gameplay and Action Recognition. IEEE Transactions on Computational Imaging. 6. 276–290. 5 indexed citations

6.

Wu, Yicheng, Vivek Boominathan, Huaijin Chen, Aswin C. Sankaranarayanan, & Ashok Veeraraghavan. (2019). PhaseCam3D — Learning Phase Masks for Passive Single View Depth Estimation. 1–12. 82 indexed citations

7.

Li, Fengqiang, et al.. (2018). High spatial resolution time-of-flight imaging. 7–7. 5 indexed citations

8.

Spinoulas, Leonidas, Kuan He, Lei Tian, et al.. (2017). Compressive holographic video. Optics Express. 25(1). 250–250. 27 indexed citations

9.

Li, Fengqiang, Huaijin Chen, Adithya Pediredla, et al.. (2017). CS-ToF: High-resolution compressive time-of-flight imaging. Optics Express. 25(25). 31096–31096. 39 indexed citations

10.

Chen, Huaijin, et al.. (2016). ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels. 903–912. 29 indexed citations

11.

Nguyen, Khiem, et al.. (2005). A 106dB SNR hybrid oversampling ADC for digital audio. 176–178. 22 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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