Ting Wang

3.8k total citations · 2 hit papers
137 papers, 2.3k citations indexed

About

Ting Wang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ting Wang has authored 137 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 35 papers in Information Systems and 31 papers in Artificial Intelligence. Recurrent topics in Ting Wang's work include Cloud Computing and Resource Management (30 papers), Software-Defined Networks and 5G (24 papers) and IoT and Edge/Fog Computing (18 papers). Ting Wang is often cited by papers focused on Cloud Computing and Resource Management (30 papers), Software-Defined Networks and 5G (24 papers) and IoT and Edge/Fog Computing (18 papers). Ting Wang collaborates with scholars based in China, United States and Hong Kong. Ting Wang's co-authors include Brady Lund, Mounir Hamdi, Yu Xia, Subrota Kumar Mondal, Jyoti Prakash Sahoo, Zhiyang Su, Mingsong Chen, Yuanming Shi, Zhenhua Ding and Ya‐Wen Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and Expert Systems with Applications.

In The Last Decade

Ting Wang

122 papers receiving 2.2k citations

Hit Papers

Chatting about ChatGPT: how may AI and GPT impact academi... 2023 2026 2024 2025 2023 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Wang China 21 679 540 428 369 313 137 2.3k
Firuz Kamalov United Arab Emirates 21 826 1.2× 201 0.4× 275 0.6× 99 0.3× 241 0.8× 89 2.2k
Ioannis Ch. Paschalidis United States 33 1.2k 1.8× 1.1k 2.1× 196 0.5× 142 0.4× 870 2.8× 228 4.1k
Dinh C. Nguyen United States 26 1.1k 1.7× 1.5k 2.8× 1.4k 3.2× 152 0.4× 913 2.9× 89 4.2k
Vikas Hassija India 28 1.1k 1.6× 1.4k 2.6× 1.5k 3.6× 192 0.5× 683 2.2× 48 4.1k
Arash Heidari Iran 33 1.0k 1.5× 1.1k 2.1× 707 1.7× 130 0.4× 308 1.0× 53 2.7k
Furqan Rustam Pakistan 33 1.6k 2.4× 294 0.5× 620 1.4× 76 0.2× 153 0.5× 134 3.5k
Ibrahim Haleem Khan India 15 543 0.8× 265 0.5× 351 0.8× 421 1.1× 75 0.2× 38 2.4k
Muhammad Shoaib Farooq Pakistan 26 624 0.9× 667 1.2× 607 1.4× 33 0.1× 360 1.2× 107 2.8k
Yongli Wang China 21 1.1k 1.6× 262 0.5× 509 1.2× 43 0.1× 208 0.7× 158 2.6k
Rahul Katarya India 25 1.0k 1.5× 335 0.6× 715 1.7× 62 0.2× 81 0.3× 142 2.3k

Countries citing papers authored by Ting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Wang. A scholar is included among the top collaborators of Ting Wang 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 Ting Wang. Ting Wang 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.
Jiang, Yuning, et al.. (2025). Physically enhanced neural network for lithium-ion battery state of health estimation. Journal of Energy Storage. 117. 115959–115959.
2.
Wang, Ting, et al.. (2024). Towards Intelligent Adaptive Edge Caching Using Deep Reinforcement Learning. IEEE Transactions on Mobile Computing. 23(10). 9289–9303. 8 indexed citations
3.
Bhatia, Parminder, et al.. (2024). BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. PubMed. 2024. 7429–7440. 1 indexed citations
4.
Wang, Ting, et al.. (2023). Multi-task-based spatiotemporal generative inference network: A novel framework for predicting the highway traffic speed. Expert Systems with Applications. 237. 121548–121548. 14 indexed citations
5.
Wang, Ting, Yi Qin, Ye Zeng, et al.. (2023). A new glance at autophagolysosomal-dependent or -independent function of transcriptional factor EB in human cancer. Acta Pharmacologica Sinica. 44(8). 1536–1548. 12 indexed citations
6.
Wang, Ting, Xin Jiang, Qin Li, & Haibin Cai. (2023). GreedW: A Flexible and Efficient Decentralized Framework for Distributed Machine Learning. IEEE Transactions on Computers. 73(3). 801–814.
7.
Zhao, Yangming, Yang Cheng, Gongming Zhao, et al.. (2023). JointPS: Joint Parameter Server Placement and Flow Scheduling for Machine Learning Clusters. IEEE Transactions on Computers. 72(12). 3503–3518. 1 indexed citations
8.
Wang, Ting, et al.. (2023). Parameterized Deep Reinforcement Learning With Hybrid Action Space for Edge Task Offloading. IEEE Internet of Things Journal. 11(6). 10754–10767. 13 indexed citations
10.
Wu, Zihao, et al.. (2022). Villagers’ Satisfaction Evaluation System of Rural Human Settlement Construction: Empirical Study of Suzhou in China’s Rapid Urbanization Area. International Journal of Environmental Research and Public Health. 19(18). 11472–11472. 15 indexed citations
11.
Sun, Huiming, Shuxiang Li, Ting Wang, & Zhengrong Chen. (2022). Mycoplasma Pneumoniae Infection and Persistent Wheezing in Young Children: A Retrospective Case-Control Study. Frontiers in Pediatrics. 10. 811086–811086. 4 indexed citations
12.
Peng, Yuanyuan, Weifang Zhu, Zhongyue Chen, et al.. (2021). Automatic Staging for Retinopathy of Prematurity With Deep Feature Fusion and Ordinal Classification Strategy. IEEE Transactions on Medical Imaging. 40(7). 1750–1762. 38 indexed citations
13.
Sun, Huiming, Ting Wang, Yongdong Yan, et al.. (2020). The implications of platelet count changes during hospitalization in the disease management of paediatric patients with bronchiolitis. Infectious Diseases. 52(11). 786–792. 1 indexed citations
14.
Wang, Ting, Meijuan Wang, Yongdong Yan, et al.. (2020). The role of inducible costimulatory molecular ligand (ICOSL) in children with neutrophilic asthma. Translational Pediatrics. 9(4). 469–479. 3 indexed citations
15.
16.
Xu, Guangxing, et al.. (2012). The Relationships of Self-Regulated Learning and Academic Achievement in University Students. 1087–1089. 5 indexed citations
17.
Wang, Ting & Fangyan Lu. (2012). Lie isomorphisms of nest algebras on Banach spaces. Journal of Mathematical Analysis and Applications. 391(2). 582–594. 8 indexed citations
18.
Wang, Ting & Shiqiang Zhang. (2011). Study on Linear Correlation Coefficient and Nonlinear Correlation Coefficient in Mathematical Statistics. 3(1). 58–63. 19 indexed citations
19.
Wang, Ting, et al.. (2008). Semantic Role Labeling of Chinese Using Transductive SVM and Semantic Heuristics. International Joint Conference on Natural Language Processing. 919–924. 2 indexed citations
20.
Wang, Ting, et al.. (2008). Dual channel power controlled backoff based on geographic location in Ad Hoc networks. Computer Engineering and Applications Journal. 44(14). 138–141. 4 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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