Ting Tang

1.1k citations
37 papers · 910 indexed · 1 hit paper · h-index 14
Topics
Advanced Battery Technologies Research (8 papers)Microgrid Control and Optimization (4 papers)Catalytic Cross-Coupling Reactions (3 papers)
Partner nations
ChinaJapanHong Kong

In The Last Decade

Ting Tang

36 papers receiving 882 citations

Hit Papers

Uneven internal SOC distribution estimation of lithium-io...2025202620255101520

Peers

Ting Tang
Comparison fields: 5 of 76
  • Electrical and Electronic Engineering 632
  • Control and Systems Engineering 514
  • Automotive Engineering 235
  • Safety, Risk, Reliability and Quality 85
  • Energy Engineering and Power Technology 70
Replace Kamel Srairi with:
Kamel Srairi Algeria
Mingyao Ma China
Longfu Luo China
Apirat Siritaratiwat Thailand
Giovanni Tinè Italy
Phil Ciufo Australia
S. Lefebvre Canada
Murat E. Balci Türkiye
Hadi Razmi Iran
Jako Kilter Estonia
Ting Tang relative to Kamel Srairi Algeria Kamel Srairi's profile →
Citations per field
00.5×4.1×
Kamel Srairi · 1×
Citations per year

Countries citing papers authored by Ting Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Tang. A scholar is included among the top collaborators of Ting 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 Ting Tang. Ting Tang 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
#WorkIndexed citations
1 6
2
Uneven internal SOC distribution estimation of lithium-ion batteries using ultrasonic transmission signals: A new data screening technique and an improved deep residual networkbreakdown →
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3 1
4 0
5 13
6 12
7 4
8 3
9 6
10 8
11 2
12 5
13 34
14 147
15 9
16 1
17 7
18 52
19
Novel radar dwell scheduling algorithm based on pulse interleaving leaving
17
20 2

About Ting Tang

Ting Tang is a scholar working on Automotive Engineering, Control and Systems Engineering and General Decision Sciences, having authored 37 papers that have together received 910 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (8 papers), Microgrid Control and Optimization (4 papers) and Catalytic Cross-Coupling Reactions (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (70 citations), Control and Systems Engineering (514 citations) and Automotive Engineering (235 citations). Ting Tang has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Jinming Xu, Shaojun Xie, Huimei Yuan, Xiaohai He, Ting Cheng, Qizhi Teng, Dan Luo, Dezhen Yang, Yi Ren and Quan Xia. Their work appears in journals such as Journal of Power Sources, ACS Catalysis and IEEE Transactions on Industrial Electronics.

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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