Shuo Chang

1.5k total citations
59 papers, 979 citations indexed

About

Shuo Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Shuo Chang has authored 59 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Aerospace Engineering. Recurrent topics in Shuo Chang's work include Wireless Signal Modulation Classification (16 papers), Advanced Neural Network Applications (7 papers) and Video Surveillance and Tracking Methods (5 papers). Shuo Chang is often cited by papers focused on Wireless Signal Modulation Classification (16 papers), Advanced Neural Network Applications (7 papers) and Video Surveillance and Tracking Methods (5 papers). Shuo Chang collaborates with scholars based in China, United States and France. Shuo Chang's co-authors include Zhiyong Feng, Sai Huang, Loren Terveen, Éric Gilbert, Zhiqing Wei, Saeideh Bakhshi, Liang Liu, Yifan Zhang, Shuhua Liu and Fan Zhang and has published in prestigious journals such as Bioresource Technology, Construction and Building Materials and IEEE Access.

In The Last Decade

Shuo Chang

54 papers receiving 944 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuo Chang China 17 339 184 167 109 89 59 979
Rahee Walambe India 21 391 1.2× 76 0.4× 259 1.6× 259 2.4× 104 1.2× 59 1.3k
Chang Wang China 22 309 0.9× 61 0.3× 130 0.8× 134 1.2× 32 0.4× 121 1.5k
Hitoshi Matsubara Japan 17 454 1.3× 106 0.6× 268 1.6× 41 0.4× 66 0.7× 107 1.2k
Jincai Huang China 13 278 0.8× 74 0.4× 142 0.9× 137 1.3× 26 0.3× 60 848
Yan Shen China 15 301 0.9× 66 0.4× 493 3.0× 82 0.8× 109 1.2× 77 1.1k
Md. Monirul Islam Bangladesh 18 306 0.9× 40 0.2× 407 2.4× 63 0.6× 20 0.2× 97 1.2k
Guodao Zhang China 17 204 0.6× 59 0.3× 120 0.7× 171 1.6× 27 0.3× 90 934
Hrudaya Kumar Tripathy India 19 222 0.7× 53 0.3× 213 1.3× 96 0.9× 33 0.4× 69 888
Shadi Atalla United Arab Emirates 18 245 0.7× 121 0.7× 155 0.9× 220 2.0× 24 0.3× 114 1.1k
Hao Xue China 17 334 1.0× 35 0.2× 351 2.1× 131 1.2× 49 0.6× 86 1.2k

Countries citing papers authored by Shuo Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Chang. A scholar is included among the top collaborators of Shuo Chang 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 Shuo Chang. Shuo Chang 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, Yuting, et al.. (2025). Reliable Automatic Modulation Classification via Grayscale Spectral Quotient Constellation Matrix and Deep Learning Models. IEEE Journal of Selected Topics in Signal Processing. 19(3). 583–594.
2.
Liu, Zhibing, Maosen Li, Lu Wang, et al.. (2025). Synergistic effect of MgO expansive agent and fly ash on the volume stability of low-heat Portland cement-based materials. Construction and Building Materials. 496. 143878–143878.
3.
Jiang, Weiwei, et al.. (2025). SNR-Enhanced Automatic Modulation Classification in Artificial Intelligence of Things for Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(1). 2051–2060. 4 indexed citations
5.
Wang, Lu, et al.. (2024). Comparing study on the evolution characteristics of performance and microstructure between Portland slag cement and supersulfated cement under chemical attacks. Construction and Building Materials. 425. 135969–135969. 12 indexed citations
6.
Zhang, Xuhui, Shuo Chang, Jinke Ren, et al.. (2024). Joint Signal Detection and Automatic Modulation Classification via Deep Learning. IEEE Transactions on Wireless Communications. 23(11). 17129–17142. 2 indexed citations
7.
Huang, Sai, et al.. (2024). Channel-Robust Automatic Modulation Classification Using Companding Spectral Quotient Cumulants. IEEE Transactions on Vehicular Technology. 73(11). 17749–17753. 4 indexed citations
8.
Chang, Shuo, et al.. (2024). Deterioration mechanism of supersulfated cement paste exposed to sulfate attack and combined acid-sulfate attack. Construction and Building Materials. 414. 134978–134978. 31 indexed citations
9.
Huang, Sai, et al.. (2024). Radio Frequency Fingerprint Identification for OFDM System Considering Unknown Multipath Fading Channel. IEEE Transactions on Cognitive Communications and Networking. 10(6). 2076–2087. 6 indexed citations
10.
Huang, Sai, et al.. (2024). Generalized Automatic Modulation Classification for OFDM Systems Under Unseen Synthetic Channels. IEEE Transactions on Wireless Communications. 23(9). 11931–11941. 7 indexed citations
11.
Chang, Shuo, et al.. (2023). A Fast Multi-Loss Learning Deep Neural Network for Automatic Modulation Classification. IEEE Transactions on Cognitive Communications and Networking. 9(6). 1503–1518. 12 indexed citations
12.
Huang, Sai, et al.. (2023). Radio Frequency Fingerprint Identification With Hybrid Time-Varying Distortions. IEEE Transactions on Wireless Communications. 22(10). 6724–6736. 31 indexed citations
13.
Huang, Sai, et al.. (2023). AMSCN: A Novel Dual-Task Model for Automatic Modulation Classification and Specific Emitter Identification. Sensors. 23(5). 2476–2476. 7 indexed citations
14.
Huang, Sai, et al.. (2023). A Unified Power Amplifier Representation-Based Receiver Equalization Technique for Nonlinear OFDM Signal Detection. IEEE Transactions on Communications. 72(4). 2260–2274. 3 indexed citations
15.
Chang, Shuo, et al.. (2022). Modulation Classification of Active Attacks in Internet of Things: Lightweight MCBLDN With Spatial Transformer Network. IEEE Internet of Things Journal. 9(19). 19132–19146. 12 indexed citations
16.
Chang, Shuo, et al.. (2022). Fusing mmWave Radar With Camera for 3-D Detection in Autonomous Driving. IEEE Internet of Things Journal. 9(20). 20408–20421. 22 indexed citations
17.
Chang, Shuo, et al.. (2022). A Hierarchical Classification Head Based Convolutional Gated Deep Neural Network for Automatic Modulation Classification. IEEE Transactions on Wireless Communications. 21(10). 8713–8728. 36 indexed citations
18.
Chang, Shuo, et al.. (2021). Multitask-Learning-Based Deep Neural Network for Automatic Modulation Classification. IEEE Internet of Things Journal. 9(3). 2192–2206. 103 indexed citations
19.
Li, Wei, et al.. (2019). Aggregated Residual Dilation-Based Feature Pyramid Network for Object Detection. IEEE Access. 7. 134014–134027. 7 indexed citations
20.
Wei, Zhiqing, Huici Wu, Zhiyong Feng, & Shuo Chang. (2019). Capacity of UAV Relaying Networks. IEEE Access. 7. 27207–27216. 15 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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