Shuochao Yao

3.0k total citations · 2 hit papers
55 papers, 1.9k citations indexed

About

Shuochao Yao is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Shuochao Yao has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 18 papers in Computer Vision and Pattern Recognition and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Shuochao Yao's work include Context-Aware Activity Recognition Systems (11 papers), Complex Network Analysis Techniques (11 papers) and Indoor and Outdoor Localization Technologies (10 papers). Shuochao Yao is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), Complex Network Analysis Techniques (11 papers) and Indoor and Outdoor Localization Technologies (10 papers). Shuochao Yao collaborates with scholars based in United States, China and Singapore. Shuochao Yao's co-authors include Tarek Abdelzaher, Yiran Zhao, Aston Zhang, Shaohan Hu, Lü Su, Huajie Shao, Chenglin Miao, Ye Yuan, Wenjun Jiang and Fenglong Ma and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology and Computer.

In The Last Decade

Shuochao Yao

54 papers receiving 1.8k citations

Hit Papers

DeepSense 2017 2026 2020 2023 2017 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuochao Yao United States 19 789 650 540 529 270 55 1.9k
Xianping Tao China 21 801 1.0× 660 1.0× 294 0.5× 575 1.1× 281 1.0× 80 1.6k
Chenglin Miao United States 20 370 0.5× 670 1.0× 659 1.2× 282 0.5× 268 1.0× 49 1.7k
Feng Zhao China 23 760 1.0× 1.5k 2.4× 458 0.8× 677 1.3× 470 1.7× 111 2.8k
Stephan Sigg Finland 22 556 0.7× 1.2k 1.8× 357 0.7× 598 1.1× 446 1.7× 132 2.1k
Shuangquan Wang China 23 687 0.9× 999 1.5× 295 0.5× 564 1.1× 312 1.2× 82 2.1k
Shaohan Hu United States 20 562 0.7× 403 0.6× 591 1.1× 432 0.8× 178 0.7× 65 1.9k
Chenren Xu China 27 462 0.6× 1.6k 2.5× 340 0.6× 950 1.8× 536 2.0× 115 2.8k
Wei Xi China 25 548 0.7× 2.0k 3.1× 366 0.7× 741 1.4× 549 2.0× 124 2.8k
Gwenn Englebienne Netherlands 18 1.2k 1.5× 295 0.5× 485 0.9× 359 0.7× 254 0.9× 57 1.7k
Robert Harle United Kingdom 20 642 0.8× 2.3k 3.5× 241 0.4× 668 1.3× 403 1.5× 51 2.9k

Countries citing papers authored by Shuochao Yao

Since Specialization
Citations

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

Fields of papers citing papers by Shuochao Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuochao Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuochao Yao. A scholar is included among the top collaborators of Shuochao Yao 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 Shuochao Yao. Shuochao Yao 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.
Yao, Shuochao, et al.. (2024). VALO: A Versatile Anytime Framework for LiDAR-Based Object Detection Deep Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 4045–4056.
2.
Yang, Chaoqi, Ruijie Wang, Shuochao Yao, et al.. (2021). Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization. Frontiers in Big Data. 4. 729881–729881. 3 indexed citations
3.
Shao, Huajie, Shuochao Yao, Lü Su, et al.. (2020). Truth Discovery With Multi-Modal Data in Social Sensing. IEEE Transactions on Computers. 70(9). 1325–1337. 15 indexed citations
4.
Yao, Shuochao, Guo‐Ping Shi, Jiani Guo, et al.. (2020). Associations of TNF-Α −308 G>A and TNF-Β 252 A>G with Physical Function and BNP—Rugao Longevity and Ageing Study. The journal of nutrition health & aging. 24(3). 358–363. 1 indexed citations
5.
Liu, Shengzhong, Shuochao Yao, Jinyang Li, et al.. (2020). GIobalFusion. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 4(1). 1–27. 41 indexed citations
6.
Liu, Shengzhong, Shuochao Yao, Dongxin Liu, et al.. (2020). Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 4(3). 1–31. 17 indexed citations
7.
Zhao, Yiran, Shuochao Yao, Dongxin Liu, Huajie Shao, & Shengzhong Liu. (2019). GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service. 1. 1–10. 4 indexed citations
8.
Yao, Shuochao, Dongxin Liu, Huajie Shao, et al.. (2019). A Latent Hawkes Process Model for Event Clustering and Temporal Dynamics Learning with Applications in GitHub. 3. 1275–1285. 4 indexed citations
9.
Ma, Teng, et al.. (2019). Genetic Variants of Homocysteine Metabolism, Homocysteine, and Frailty - Rugao Longevity and Ageing Study. The journal of nutrition health & aging. 24(2). 198–204. 9 indexed citations
10.
Misra, Archan, et al.. (2019). Dependable machine intelligence at the tactical edge. 90. 7–7. 3 indexed citations
11.
12.
Yao, Shuochao, Tianshi Wang, Jinyang Li, & Tarek Abdelzaher. (2019). Stardust: A deep learning serving system in IoT. 402–403. 2 indexed citations
13.
Yao, Shuochao, Dongxin Liu, Shengzhong Liu, et al.. (2018). A predictive self-configuring simulator for online media. Winter Simulation Conference. 1262–1273. 3 indexed citations
14.
Yao, Shuochao, Yiran Zhao, Shaohan Hu, & Tarek Abdelzaher. (2018). QualityDeepSense. 42–47. 18 indexed citations
15.
Yao, Shuochao, Jiani Guo, Guo‐Ping Shi, et al.. (2018). Association of BNP with Frailty in Elderly Population: Rugao Longevity and Ageing Study. The journal of nutrition health & aging. 23(1). 73–78. 20 indexed citations
16.
Zhu, Wanzheng, Chao Zhang, Shuochao Yao, Xiaobin Gao, & Jiawei Han. (2018). A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 12 indexed citations
17.
Zhao, Yiran, Shuochao Yao, Li Shen, et al.. (2017). Demo: Unsupervised Fill-level Estimation for Smart Trash Removal Systems. 262–263. 2 indexed citations
18.
Yao, Shuochao, Shaohan Hu, Yiran Zhao, Aston Zhang, & Tarek Abdelzaher. (2017). DeepSense. 351–360. 463 indexed citations breakdown →
19.
Yao, Shuochao, Yiran Zhao, Aston Zhang, Lü Su, & Tarek Abdelzaher. (2017). DeepIoT. 1–14. 143 indexed citations
20.
Zhao, Yiran, Shen Li, Shaohan Hu, et al.. (2016). An experimental evaluation of datacenter workloads on low-power embedded micro servers. Proceedings of the VLDB Endowment. 9(9). 696–707. 9 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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