Suining He

4.8k total citations · 2 hit papers
73 papers, 3.6k citations indexed

About

Suining He is a scholar working on Electrical and Electronic Engineering, Transportation and Building and Construction. According to data from OpenAlex, Suining He has authored 73 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 23 papers in Transportation and 19 papers in Building and Construction. Recurrent topics in Suining He's work include Indoor and Outdoor Localization Technologies (34 papers), Human Mobility and Location-Based Analysis (18 papers) and Traffic Prediction and Management Techniques (13 papers). Suining He is often cited by papers focused on Indoor and Outdoor Localization Technologies (34 papers), Human Mobility and Location-Based Analysis (18 papers) and Traffic Prediction and Management Techniques (13 papers). Suining He collaborates with scholars based in United States, Hong Kong and China. Suining He's co-authors include S.-H. Gary Chan, Qinghua Wu, J. R. Saunders, Kang G. Shin, Emmanuel Prempain, Ray Paton, Jinyu Wen, Ning Liu, Wenbin Lin and Lei Yu and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, ACM Computing Surveys and IEEE Transactions on Vehicular Technology.

In The Last Decade

Suining He

68 papers receiving 3.5k citations

Hit Papers

Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advan... 2009 2026 2014 2020 2015 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suining He United States 26 2.2k 966 881 631 555 73 3.6k
Ruchuan Wang China 30 1.6k 0.7× 760 0.8× 340 0.4× 369 0.6× 2.0k 3.5× 369 4.1k
Ashok K. Agrawala United States 32 3.9k 1.8× 601 0.6× 1.7k 1.9× 1.1k 1.7× 3.0k 5.5× 180 6.0k
Kai Liu China 33 2.0k 0.9× 722 0.7× 159 0.2× 166 0.3× 1.7k 3.1× 246 3.9k
Linghe Kong China 40 3.0k 1.4× 832 0.9× 200 0.2× 413 0.7× 2.6k 4.6× 258 6.0k
Zoran Salčić New Zealand 26 954 0.4× 890 0.9× 200 0.2× 266 0.4× 610 1.1× 255 3.0k
Bin Xiao Hong Kong 41 2.7k 1.2× 1.3k 1.4× 359 0.4× 506 0.8× 3.6k 6.5× 257 6.1k
Miroslav Vozňák Czechia 29 2.2k 1.0× 858 0.9× 133 0.2× 226 0.4× 1.1k 2.0× 396 3.8k
Wendong Xiao China 34 1.3k 0.6× 1.4k 1.5× 314 0.4× 231 0.4× 1.2k 2.1× 214 3.6k
Maode Ma Singapore 40 2.9k 1.3× 1.5k 1.5× 380 0.4× 372 0.6× 4.1k 7.3× 437 6.2k
Cailian Chen China 36 2.0k 0.9× 763 0.8× 667 0.8× 79 0.1× 3.0k 5.4× 439 5.2k

Countries citing papers authored by Suining He

Since Specialization
Citations

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

Fields of papers citing papers by Suining He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suining He

This figure shows the co-authorship network connecting the top 25 collaborators of Suining He. A scholar is included among the top collaborators of Suining He 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 Suining He. Suining He 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.
He, Suining, et al.. (2024). Cross-Modality and Equity-Aware Graph Pooling Fusion: A Bike Mobility Prediction Study. IEEE Transactions on Big Data. 11(1). 286–302. 3 indexed citations
2.
Niu, Qun, et al.. (2023). VILL: Toward Efficient and Automatic Visual Landmark Labeling. ACM Transactions on Sensor Networks. 19(4). 1–25.
3.
Wang, Shuai, Yi Ding, Guang Wang, et al.. (2023). Time-Constrained Actor-Critic Reinforcement Learning for Concurrent Order Dispatch in On-Demand Delivery. IEEE Transactions on Mobile Computing. 23(8). 8175–8192. 4 indexed citations
4.
He, Suining, et al.. (2023). STICAP : Spatio-temporal Interactive Attention for Citywide Crowd Activity Prediction. ACM Transactions on Spatial Algorithms and Systems. 10(1). 1–22.
5.
Niu, Qun, et al.. (2023). Adaptive radio map reconstruction via adversarial wireless fingerprint learning. Neural Computing and Applications. 35(25). 18585–18602. 1 indexed citations
6.
Liu, Ning, et al.. (2021). Indoor Localization With Adaptive Signal Sequence Representations. IEEE Transactions on Vehicular Technology. 70(11). 11678–11694. 12 indexed citations
7.
He, Suining, et al.. (2021). Multi-Head Spatio-Temporal Attention Mechanism for Urban Anomaly Event Prediction. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 5(3). 1–21. 6 indexed citations
8.
He, Suining & Kang G. Shin. (2021). Distribution Prediction for Reconfiguring Urban Dockless E-Scooter Sharing Systems. IEEE Transactions on Knowledge and Data Engineering. 34(12). 5722–5740. 6 indexed citations
9.
He, Suining, et al.. (2020). Station Correlation Attention Learning for Data-driven Bike Sharing System Usage Prediction. 640–648. 6 indexed citations
10.
Niu, Qun, et al.. (2019). Resource-efficient and Automated Image-based Indoor Localization. ACM Transactions on Sensor Networks. 15(2). 1–31. 37 indexed citations
11.
He, Suining & Kang G. Shin. (2019). Crowd-Flow Graph Construction and Identification with Spatio-Temporal Signal Feature Fusion. 757–765. 6 indexed citations
12.
He, Suining, S.-H. Gary Chan, Lei Yu, & Ning Liu. (2018). Maxlifd: Joint Maximum Likelihood Localization Fusing Fingerprints and Mutual Distances. IEEE Transactions on Mobile Computing. 18(3). 602–617. 26 indexed citations
13.
Chow, Ka-Ho, et al.. (2018). Efficient Locality Classification for Indoor Fingerprint-Based Systems. IEEE Transactions on Mobile Computing. 18(2). 290–304. 16 indexed citations
14.
Niu, Qun, Ying Nie, Suining He, Ning Liu, & Xiaonan Luo. (2018). RecNet: A Convolutional Network for Efficient Radiomap Reconstruction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–7. 19 indexed citations
15.
He, Suining & Kang G. Shin. (2018). Steering Crowdsourced Signal Map Construction via Bayesian Compressive Sensing. 1016–1024. 67 indexed citations
16.
He, Suining, et al.. (2017). Efficient Sequence Matching and Path Construction for Geomagnetic Indoor Localization. 156–167. 12 indexed citations
17.
He, Suining, et al.. (2017). Toward Practical Deployment of Fingerprint-Based Indoor Localization. IEEE Pervasive Computing. 16(2). 76–83. 6 indexed citations
18.
He, Suining, et al.. (2016). Towards area classification for large-scale fingerprint-based system. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 232–243. 18 indexed citations
19.
Tang, Wenhu, Min Li, Suining He, Qinghua Wu, & J. R. Saunders. (2006). Optimal Power Flow With Dynamic Loads Using Bacterial Foraging Algorithm. University of Birmingham Research Portal (University of Birmingham). 1–5. 38 indexed citations
20.
He, Suining, Qinghua Wu, Jinyu Wen, J. R. Saunders, & Ray Paton. (2004). A particle swarm optimizer with passive congregation. Biosystems. 78(1-3). 135–147. 292 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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