Tong Yu

2.1k total citations · 1 hit paper
50 papers, 1.1k citations indexed

About

Tong Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tong Yu has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Tong Yu's work include Context-Aware Activity Recognition Systems (9 papers), Multimodal Machine Learning Applications (8 papers) and IoT and Edge/Fog Computing (5 papers). Tong Yu is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Multimodal Machine Learning Applications (8 papers) and IoT and Edge/Fog Computing (5 papers). Tong Yu collaborates with scholars based in China, United States and Italy. Tong Yu's co-authors include Hong Zhu, Rong Chen, Ole J. Mengshoel, Yilin Shen, Hongxia Jin, Shijia Pan, Chih‐Jen Lin, Edward Yi Chang, Hae Young Noh and Jonathon Fagert and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Environmental Research and Neural Networks.

In The Last Decade

Tong Yu

46 papers receiving 1.1k citations

Hit Papers

Hyper-Parameter Optimization: A Review of Algorithms and ... 2020 2026 2022 2024 2020 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. Hyper-Parameter Optimization: A Review of Algorithms and Applications
    2020 329 citations Tong Yu et al. arXiv (Cornell University) profile →

Peers

Tong Yu
Alan Liu Taiwan
Chao Tong China
Hailong Zhu China
Naveen Aggarwal India
Ken Cai China
Ravi P. Ramachandran United States
Changseok Bae South Korea
François Charpillet France
Alan Liu Taiwan
Tong Yu
Citations per year, relative to Tong Yu Tong Yu (= 1×) peers Alan Liu

Countries citing papers authored by Tong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Yu. A scholar is included among the top collaborators of Tong Yu 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 Tong Yu. Tong Yu 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.
Yu, Tong, et al.. (2025). SDNet: a lightweight ship detection network in remote sensing images by super-resolution enhancement and detail completion. European Journal of Remote Sensing. 58(1). 1 indexed citations
2.
Xie, Zhihui, et al.. (2024). Toward joint utilization of absolute and relative bandit feedback for conversational recommendation. User Modeling and User-Adapted Interaction. 34(5). 1707–1744.
3.
Zhang, Ruiyi, Tong Yu, Rajiv Jain, et al.. (2024). Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. 196–210. 2 indexed citations
4.
Yu, Tong, et al.. (2023). Effects of 2,6-di-tert-butyl-hydroxytotulene and mineral-lubricant base oils on microbial communities during lubricants biodegradation. Environmental Research. 231(Pt 2). 116120–116120. 4 indexed citations
5.
Yu, Tong, Pietro Mascagni, Juan M. Verde, et al.. (2023). Live laparoscopic video retrieval with compressed uncertainty. Medical Image Analysis. 88. 102866–102866. 4 indexed citations
6.
Dall’Alba, Diego, Cristians González, Tong Yu, et al.. (2023). TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos. International Journal of Computer Assisted Radiology and Surgery. 18(9). 1665–1672. 2 indexed citations
7.
Yu, Tong, et al.. (2022). Sparse factorization of square matrices with application to neural attention modeling. Neural Networks. 152. 160–168. 5 indexed citations
8.
Liu, Jun, et al.. (2022). Resource scheduling in mobile edge computing using improved ant colony algorithm for space information network. International Journal of Satellite Communications and Networking. 41(4). 331–356. 3 indexed citations
9.
Yu, Tong & Bo Yu. (2022). Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo Search. Entropy. 24(6). 845–845. 5 indexed citations
10.
Yu, Tong, et al.. (2022). CIPhy. 966–972. 2 indexed citations
11.
Dall’Alba, Diego, Cristians González, Tong Yu, et al.. (2021). Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures. arXiv (Cornell University). 57 indexed citations
12.
Yu, Tong, et al.. (2021). Efficient Detection in Aerial Images for Resource-Limited Satellites. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 9 indexed citations
13.
Xie, Zhihui, et al.. (2021). Comparison-based Conversational Recommender System with Relative Bandit Feedback. arXiv (Cornell University). 1400–1409. 27 indexed citations
14.
Yu, Tong, Peng Yin, Wei Zhang, Yanliang Song, & Xu Zhang. (2020). A compounding-model comprising back propagation neural network and genetic algorithm for performance prediction of bio-based lubricant blending with functional additives. Industrial Lubrication and Tribology. 73(2). 246–252. 10 indexed citations
15.
Zhang, Ruiyi, Tong Yu, Yilin Shen, Hongxia Jin, & Changyou Chen. (2019). Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. Neural Information Processing Systems. 32. 15188–15198. 16 indexed citations
16.
Mascagni, Pietro, Claudio Fiorillo, Takeshi Urade, et al.. (2019). Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety. Surgical Endoscopy. 34(6). 2709–2714. 39 indexed citations
17.
Bai, Shizhu, Fang Li, Dongmei Li, et al.. (2016). Effect of plasma nitriding and titanium nitride coating on the corrosion resistance of titanium. Journal of Prosthetic Dentistry. 116(3). 450–456. 22 indexed citations
18.
Yu, Tong, Yong Zhuang, Ole J. Mengshoel, & Osman Yağan. (2016). Hybridizing Personal and Impersonal Machine Learning Models for Activity Recognition on Mobile Devices. 10 indexed citations
19.
Chen, Rong & Tong Yu. (2014). A Two-stage Method for Solving Multi-resident Activity Recognition in Smart Environments. Entropy. 16(4). 2184–2203. 46 indexed citations
20.
Yu, Tong, et al.. (2011). Effects of Plasma Nitriding and TiN Coating Duplex Treatment on Wear Resistance of Commercially Pure Titanium. Advanced materials research. 217-218. 1050–1055. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Alan Liu Breakdown of academic impact, for papers by Chao Tong Breakdown of academic impact, for papers by Hailong Zhu Breakdown of academic impact, for papers by Naveen Aggarwal Breakdown of academic impact, for papers by Ken Cai Breakdown of academic impact, for papers by Ravi P. Ramachandran Breakdown of academic impact, for papers by Changseok Bae Breakdown of academic impact, for papers by François Charpillet
Rankless by CCL
2026