Sidan Du

2.8k total citations · 1 hit paper
115 papers, 2.0k citations indexed

About

Sidan Du is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Sidan Du has authored 115 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 25 papers in Computer Networks and Communications and 22 papers in Artificial Intelligence. Recurrent topics in Sidan Du's work include Advanced Vision and Imaging (13 papers), Human Pose and Action Recognition (11 papers) and Cooperative Communication and Network Coding (9 papers). Sidan Du is often cited by papers focused on Advanced Vision and Imaging (13 papers), Human Pose and Action Recognition (11 papers) and Cooperative Communication and Network Coding (9 papers). Sidan Du collaborates with scholars based in China, United States and Germany. Sidan Du's co-authors include Shuihua Wang‎, Yao Yu, Yu Zhou, Yudong Zhang, Zhengchao Dong, Xianqing Chen, Khan Muhammad, Wenjuan Jia, Preetha Phillips and Ziqiang Wang and has published in prestigious journals such as Optics Letters, Optics Express and IEEE Access.

In The Last Decade

Sidan Du

103 papers receiving 2.0k citations

Hit Papers

Image based fruit category classification by 13-layer dee... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sidan Du China 24 644 414 328 314 305 115 2.0k
Manoj Diwakar India 25 1.2k 1.8× 453 1.1× 161 0.5× 289 0.9× 129 0.4× 217 2.5k
Vikrant Bhateja India 26 1.2k 1.9× 481 1.2× 90 0.3× 217 0.7× 263 0.9× 153 2.4k
Friedhelm Schwenker Germany 30 828 1.3× 1.4k 3.3× 257 0.8× 298 0.9× 103 0.3× 189 3.2k
Adi Alhudhaif Saudi Arabia 27 513 0.8× 630 1.5× 152 0.5× 137 0.4× 143 0.5× 106 2.0k
Feng Jiang China 31 1.5k 2.3× 787 1.9× 116 0.4× 877 2.8× 322 1.1× 205 3.8k
V. Sowmya India 21 461 0.7× 376 0.9× 95 0.3× 67 0.2× 169 0.6× 143 1.6k
Fuqian Shi China 23 445 0.7× 301 0.7× 125 0.4× 287 0.9× 168 0.6× 76 1.5k
Siyuan Lu China 24 750 1.2× 925 2.2× 584 1.8× 252 0.8× 80 0.3× 56 2.3k
Banshidhar Majhi India 31 1.8k 2.7× 1.3k 3.1× 562 1.7× 161 0.5× 433 1.4× 189 3.3k
Preetha Phillips United States 34 1.4k 2.1× 1.3k 3.2× 1.3k 3.9× 456 1.5× 113 0.4× 58 4.0k

Countries citing papers authored by Sidan Du

Since Specialization
Citations

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

Fields of papers citing papers by Sidan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sidan Du

This figure shows the co-authorship network connecting the top 25 collaborators of Sidan Du. A scholar is included among the top collaborators of Sidan Du 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 Sidan Du. Sidan Du 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.
Zhang, Chenyu, et al.. (2025). HP3: Tuning-Free Head-Preserving Portrait Personalization Via 3D-Controlled Diffusion Models. IEEE Signal Processing Letters. 1–5.
2.
Liu, Sheng, et al.. (2024). A Real-Time Method for Railway Track Detection and 3D Fitting Based on Camera and LiDAR Fusion Sensing. Remote Sensing. 16(8). 1441–1441. 3 indexed citations
3.
Zhou, Yu, et al.. (2023). 3D Spine Model Reconstruction Based on RGBD Images of Unclothed Back Surface. IEEE Transactions on Biomedical Engineering. 71(1). 270–281. 3 indexed citations
4.
Du, Sidan, et al.. (2023). GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features. IEEE Signal Processing Letters. 31. 521–525. 9 indexed citations
5.
Zhao, Kanglian, et al.. (2022). A Realistic, Flexible and Extendible Network Emulation Platform for Space Networks. Electronics. 11(8). 1236–1236. 3 indexed citations
6.
Cao, Meng, et al.. (2021). Global disassortative rewiring strategy for enhancing the robustness of scale-free networks against localized attack. Physical review. E. 103(2). 22313–22313. 8 indexed citations
7.
Cola, Tomaso de, et al.. (2021). Exploiting Edge Computing in Internet of Space Things Networks: Dynamic and Static Server Placement. 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall). 1–6. 14 indexed citations
8.
Yu, Yao, et al.. (2019). Fine-grained 3D Face Reconstruction from a Single Image using Illumination Priors. 876–883. 1 indexed citations
9.
Yu, Yao, et al.. (2019). Single View 3D Face Reconstruction with Landmark Updating. 403–408. 3 indexed citations
10.
Zhang, Yudong, Zhengchao Dong, Xianqing Chen, et al.. (2017). Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation. Multimedia Tools and Applications. 78(3). 3613–3632. 285 indexed citations breakdown →
11.
Wang‎, Shuihua, Sidan Du, Yin Zhang⋆, et al.. (2016). Alzheimer’s Disease Detection by Pseudo Zernike Moment and Linear Regression Classification. CNS & Neurological Disorders - Drug Targets. 16(1). 11–15. 52 indexed citations
12.
Wang‎, Shuihua, Ming Yang, Sidan Du, et al.. (2016). Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning. Frontiers in Computational Neuroscience. 10. 106–106. 68 indexed citations
13.
Wang‎, Shuihua, et al.. (2016). Application of stationary wavelet entropy in pathological brain detection. Multimedia Tools and Applications. 77(3). 3701–3714. 70 indexed citations
14.
Wang‎, Shuihua, Mengmeng Chen, Yang Li, et al.. (2015). Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks. Computational and Mathematical Methods in Medicine. 2015. 1–12. 29 indexed citations
15.
Yu, Yao, et al.. (2015). Leveraging Two Kinect Sensors for Accurate Full-Body Motion Capture. Sensors. 15(9). 24297–24317. 25 indexed citations
16.
Li, Yang, Mengxue Yang, Zhuo Huang, et al.. (2014). AxonQuant: A Microfluidic Chamber Culture-Coupled Algorithm That Allows High-Throughput Quantification of Axonal Damage. Neurosignals. 22(1). 14–29. 14 indexed citations
17.
Zhang, Xing, Jie Yuan, Sidan Du, et al.. (2014). Improved digital breast tomosynthesis images using automated ultrasound. Medical Physics. 41(6Part1). 61911–61911. 2 indexed citations
18.
Feng, Tao, et al.. (2011). Asymmetric energy flux in a transmission line based on frequency multiplication. Physical Review E. 83(5). 56605–56605. 15 indexed citations
19.
Du, Sidan. (2008). Simulation of OFDM System in Multipath Rayleigh Fading Channels. Jisuanji fangzhen. 1 indexed citations
20.
Du, Sidan. (2008). Auto-focusing Algorithm for Iris Imaging System. Guangdian gongcheng.

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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