Dihu Chen

3.2k total citations · 1 hit paper
182 papers, 2.6k citations indexed

About

Dihu Chen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Dihu Chen has authored 182 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Electrical and Electronic Engineering, 62 papers in Biomedical Engineering and 56 papers in Materials Chemistry. Recurrent topics in Dihu Chen's work include Diamond and Carbon-based Materials Research (20 papers), Video Surveillance and Tracking Methods (18 papers) and Semiconductor materials and devices (18 papers). Dihu Chen is often cited by papers focused on Diamond and Carbon-based Materials Research (20 papers), Video Surveillance and Tracking Methods (18 papers) and Semiconductor materials and devices (18 papers). Dihu Chen collaborates with scholars based in China, Hong Kong and United States. Dihu Chen's co-authors include Xiaonan Luo, Kaishun Wu, Lionel M. Ni, Youwen Yi, Jiang Xiao, Mingmei Wu, Yuanzhi Shao, Haifeng Hu, Ruren Xu and Gang Lin and has published in prestigious journals such as ACS Nano, Applied Physics Letters and PLoS ONE.

In The Last Decade

Dihu Chen

167 papers receiving 2.5k citations

Hit Papers

CSI-Based Indoor Localization 2012 2026 2016 2021 2012 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CSI-Based Indoor Localization
    2012 388 citations Dihu Chen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dihu Chen China 25 1.2k 1.1k 551 372 247 182 2.6k
Junhao Li China 25 1.2k 1.0× 1.3k 1.2× 474 0.9× 152 0.4× 63 0.3× 204 2.7k
Daiqin Yang China 20 554 0.4× 672 0.6× 206 0.4× 166 0.4× 447 1.8× 74 1.9k
Yutao Liu China 35 787 0.6× 873 0.8× 419 0.8× 71 0.2× 1.2k 5.0× 166 3.9k
Deok‐Soo Kim South Korea 32 515 0.4× 706 0.6× 587 1.1× 210 0.6× 251 1.0× 135 2.7k
Songtao Lu China 33 956 0.8× 2.8k 2.5× 331 0.6× 583 1.6× 101 0.4× 188 4.4k
Zhenyuan Zhang China 21 988 0.8× 878 0.8× 754 1.4× 166 0.4× 95 0.4× 78 2.8k
Qi Wang China 36 629 0.5× 3.0k 2.7× 495 0.9× 352 0.9× 59 0.2× 178 4.4k
Gaofeng Wang China 42 1.1k 0.9× 3.8k 3.5× 2.1k 3.8× 180 0.5× 146 0.6× 461 5.8k
Zhipeng Wei China 28 1.3k 1.1× 1.4k 1.3× 637 1.2× 193 0.5× 110 0.4× 222 2.9k
Shiping Li China 25 688 0.6× 614 0.6× 226 0.4× 763 2.1× 139 0.6× 143 2.0k

Countries citing papers authored by Dihu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dihu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dihu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dihu Chen. A scholar is included among the top collaborators of Dihu 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 Dihu Chen. Dihu Chen 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.
Chen, Dihu, et al.. (2026). RCAENet: Residual Convolutional and Attention-Enhanced Stereo Matching for Real-Time Depth Estimation on Edge Devices. ACM Transactions on Multimedia Computing Communications and Applications. 22(3). 1–25.
2.
Zhou, Wei, et al.. (2025). From multi-scale grids to dynamic regions: Dual-relation enhanced transformer for image captioning. Knowledge-Based Systems. 311. 113127–113127. 3 indexed citations
3.
Ye, Peijun, et al.. (2024). Sparse-attention augmented domain adaptation for unsupervised person re-identification. Pattern Recognition Letters. 187. 8–13. 1 indexed citations
4.
Chen, Dihu, et al.. (2024). Superflexible Carbon Nanofibers for Multidimensional Complex Deformation Sensing in Soft Robots. ACS Applied Materials & Interfaces. 16(45). 62537–62546. 2 indexed citations
5.
Zheng, Zhijie, et al.. (2023). DTSSD: Dual-Channel Transformer-Based Network for Point-Based 3D Object Detection. IEEE Signal Processing Letters. 30. 798–802. 11 indexed citations
6.
Zheng, Zhijie, et al.. (2023). PSA-Det3D: Pillar set abstraction for 3D object detection. Pattern Recognition Letters. 168. 138–145. 7 indexed citations
7.
Chen, Dihu, et al.. (2023). Multi‐level cross‐modality learning framework for text‐based person re‐identification. Electronics Letters. 59(20). 2 indexed citations
8.
Hu, Haifeng, et al.. (2023). Self-Supervised Consistency Based on Joint Learning for Unsupervised Person Re-identification. ACM Transactions on Multimedia Computing Communications and Applications. 20(1). 1–20. 1 indexed citations
9.
10.
He, Xiaoxi, et al.. (2023). A Multi-Contaminants Detection Sensor Based on Digital Lock-In Amplifier Module With High Sensitivity and High Detectability. IEEE Sensors Journal. 23(14). 16123–16135. 8 indexed citations
11.
Yang, Shengrong, et al.. (2022). Diverse Feature Learning Network With Attention Suppression and Part Level Background Suppression for Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 33(1). 283–297. 20 indexed citations
12.
Liu, Yichu, Haifeng Hu, & Dihu Chen. (2021). Multi‐label based view learning for vehicle re‐identification. Electronics Letters. 58(3). 100–102. 1 indexed citations
13.
Zeng, Ying, et al.. (2021). Two-Branch Asymmetric Model With Alternately Clustering for Unsupervised Person Re-Identification. IEEE Signal Processing Letters. 29. 75–79. 5 indexed citations
14.
Hu, Haifeng, et al.. (2020). Multiscale Omnibearing Attention Networks for Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 31(5). 1790–1803. 27 indexed citations
15.
Zhang, Suian, et al.. (2020). Three-Dimension Transmissible Attention Network for Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 30(12). 4540–4553. 15 indexed citations
16.
Hu, Haifeng, et al.. (2019). Image Inpainting Based on Patch-GANs. IEEE Access. 7. 46411–46421. 20 indexed citations
17.
Hu, Haifeng, et al.. (2019). Deeply Associative Two-Stage Representations Learning Based on Labels Interval Extension Loss and Group Loss for Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 30(12). 4526–4539. 19 indexed citations
18.
Chen, Dihu, et al.. (2018). Improved Synthesis of Compressor Trees in High-Level Synthesis for Modern FPGAs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(12). 3206–3210.
19.
Zhang, Yueli, et al.. (2015). Secondary resonance magnetic force microscopy using an external magnetic field for characterization of magnetic thin films. Applied Physics Letters. 107(10). 3 indexed citations
20.
Chen, Dihu. (2008). MSP430-based Direct Tire Pressure Monitoring System Design. Acta Scientiarum Naturalium Universitatis Sunyatseni. 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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