Shenglong Tang

1.8k total citations · 2 hit papers
10 papers, 1.3k citations indexed

About

Shenglong Tang is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Computer Networks and Communications. According to data from OpenAlex, Shenglong Tang has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Computer Networks and Communications. Recurrent topics in Shenglong Tang's work include Digital Transformation in Industry (4 papers), IoT and Edge/Fog Computing (3 papers) and Modular Robots and Swarm Intelligence (2 papers). Shenglong Tang is often cited by papers focused on Digital Transformation in Industry (4 papers), IoT and Edge/Fog Computing (3 papers) and Modular Robots and Swarm Intelligence (2 papers). Shenglong Tang collaborates with scholars based in China, Sweden and Saudi Arabia. Shenglong Tang's co-authors include Jiafu Wan, Di Li, Shiyong Wang, Athanasios V. Vasilakos, Muhammad Imran, Zhaogang Shu, Chengliang Liu, Haider Abbas, Hehua Yan and Qingsong Hua and has published in prestigious journals such as IEEE Access, Chemical Science and IEEE Transactions on Industrial Informatics.

In The Last Decade

Shenglong Tang

9 papers receiving 1.3k citations

Hit Papers

Software-Defined Industrial Internet of Things in the Con... 2016 2026 2019 2022 2016 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shenglong Tang China 8 579 485 315 203 172 10 1.3k
Hehua Yan China 12 322 0.6× 361 0.7× 331 1.1× 129 0.6× 132 0.8× 17 985
Marga Marcos Spain 21 837 1.4× 247 0.5× 293 0.9× 291 1.4× 392 2.3× 200 1.9k
Martin Wollschlaeger Germany 11 646 1.1× 817 1.7× 253 0.8× 381 1.9× 56 0.3× 104 1.7k
Junwei Yan China 20 511 0.9× 174 0.4× 100 0.3× 223 1.1× 178 1.0× 107 1.3k
Hugh Boyes United Kingdom 8 457 0.8× 407 0.8× 175 0.6× 120 0.6× 36 0.2× 20 1.2k
Lifeng Zhou United States 13 531 0.9× 317 0.7× 142 0.5× 69 0.3× 60 0.3× 34 1.2k
Abdelghani Bekrar France 22 1.0k 1.8× 189 0.4× 296 0.9× 330 1.6× 50 0.3× 68 1.8k
Shilong Wang China 22 773 1.3× 204 0.4× 109 0.3× 127 0.6× 251 1.5× 70 1.4k
Luís Ribeiro Portugal 19 853 1.5× 168 0.3× 212 0.7× 70 0.3× 98 0.6× 74 1.3k
Ping Lou China 18 581 1.0× 130 0.3× 103 0.3× 133 0.7× 187 1.1× 98 1.1k

Countries citing papers authored by Shenglong Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shenglong Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenglong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shenglong Tang. A scholar is included among the top collaborators of Shenglong Tang 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 Shenglong Tang. Shenglong Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Zhao, Dong, Xiangjun Pu, Shenglong Tang, et al.. (2023). δ-VOPO 4 as a high-voltage cathode material for aqueous zinc-ion batteries. Chemical Science. 14(30). 8206–8213. 28 indexed citations
3.
Tang, Shenglong, Chunlei Wang, Xiangjun Pu, Xiang‐Kui Gu, & Zhongxue Chen. (2023). Unravelling Zn<sup>2+</sup> Intercalation Mechanism in TiX<sub>2</sub> (X = S, Se) Anodes for Aqueous Zn-Ion Batteries. Acta Physico-Chimica Sinica. 0(0). 2212037–2212037. 18 indexed citations
4.
Zhao, Tianfeng, Shenglong Tang, Feng Wen, et al.. (2022). Experimental Investigation on All-fiber Few-mode Recirculating Loop System (AF-FMRLS). 1060–1064. 1 indexed citations
5.
Yan, Hehua, Jiafu Wan, Chunhua Zhang, et al.. (2018). Industrial Big Data Analytics for Prediction of Remaining Useful Life Based on Deep Learning. IEEE Access. 6. 17190–17197. 86 indexed citations
6.
Wan, Jiafu, Shenglong Tang, Di Li, et al.. (2018). Reconfigurable Smart Factory for Drug Packing in Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics. 15(1). 507–516. 97 indexed citations
7.
Wan, Jiafu, Shenglong Tang, Qingsong Hua, et al.. (2017). Context-Aware Cloud Robotics for Material Handling in Cognitive Industrial Internet of Things. IEEE Internet of Things Journal. 5(4). 2272–2281. 124 indexed citations
8.
Wan, Jiafu, Shenglong Tang, Di Li, et al.. (2017). A Manufacturing Big Data Solution for Active Preventive Maintenance. IEEE Transactions on Industrial Informatics. 13(4). 2039–2047. 327 indexed citations breakdown →
9.
Wan, Jiafu, Shenglong Tang, Hehua Yan, et al.. (2016). Cloud Robotics: Current Status and Open Issues. IEEE Access. 1–1. 132 indexed citations
10.
Wan, Jiafu, Shenglong Tang, Zhaogang Shu, et al.. (2016). Software-Defined Industrial Internet of Things in the Context of Industry 4.0. IEEE Sensors Journal. 1–1. 517 indexed citations breakdown →

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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