Ting Cai

449 total citations
10 papers, 366 citations indexed

About

Ting Cai is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Environmental Engineering. According to data from OpenAlex, Ting Cai has authored 10 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Automotive Engineering, 9 papers in Electrical and Electronic Engineering and 1 paper in Environmental Engineering. Recurrent topics in Ting Cai's work include Advanced Battery Technologies Research (9 papers), Advancements in Battery Materials (8 papers) and Advanced Battery Materials and Technologies (8 papers). Ting Cai is often cited by papers focused on Advanced Battery Technologies Research (9 papers), Advancements in Battery Materials (8 papers) and Advanced Battery Materials and Technologies (8 papers). Ting Cai collaborates with scholars based in United States and China. Ting Cai's co-authors include Anna G. Stefanopoulou, Jason B. Siegel, Peyman Mohtat, Xiaolei Wang and Xia Wang and has published in prestigious journals such as Journal of The Electrochemical Society, International Journal of Hydrogen Energy and eTransportation.

In The Last Decade

Ting Cai

10 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ting Cai United States	7	323	318	33	31	13	10	366
Yoana Fernández Pulido Spain	6	277 0.9×	265 0.8×	30 0.9×	35 1.1×	12 0.9×	10	315
Haoyong Cui China	5	284 0.9×	255 0.8×	12 0.4×	50 1.6×	19 1.5×	6	329
Nicolas Wolff Germany	11	379 1.2×	377 1.2×	20 0.6×	48 1.5×	7 0.5×	13	431
Robert Kühn Germany	4	201 0.6×	192 0.6×	12 0.4×	19 0.6×	16 1.2×	7	236
William Q. Walker United States	9	463 1.4×	446 1.4×	30 0.9×	25 0.8×	7 0.5×	16	505
Laifeng Song China	11	513 1.6×	443 1.4×	36 1.1×	20 0.6×	5 0.4×	12	541
Daniel Worwood United Kingdom	9	429 1.3×	415 1.3×	6 0.2×	22 0.7×	4 0.3×	12	458
Fan Yue China	6	285 0.9×	286 0.9×	18 0.5×	64 2.1×	5 0.4×	11	337
Peter Bugryniec United Kingdom	8	377 1.2×	351 1.1×	22 0.7×	20 0.6×	4 0.3×	12	413
Lukas Gold Germany	6	233 0.7×	216 0.7×	6 0.2×	42 1.4×	8 0.6×	11	262

Countries citing papers authored by Ting Cai

Since Specialization

Citations

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

Fields of papers citing papers by Ting Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Cai

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

All Works

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10 of 10 papers shown

1.

Cai, Ting, et al.. (2025). Harnessing electroactive microbial community for energy recovery from refining wastewater in microbial fuel cells. International Journal of Hydrogen Energy. 102. 874–886. 1 indexed citations

2.

Cai, Ting, et al.. (2022). Equivalent Circuit Model for High C-Rate Discharge with an External Short Circuit. 2022 American Control Conference (ACC). 1782–1787. 2 indexed citations

3.

Cai, Ting, et al.. (2021). Modeling Li-ion Battery First Venting Events Before Thermal Runaway. IFAC-PapersOnLine. 54(20). 528–533. 18 indexed citations

4.

Cai, Ting, et al.. (2020). Battery Internal Short Detection Methodology Using Cell Swelling Measurements. 1143–1148. 23 indexed citations

5.

Cai, Ting, Peyman Mohtat, Anna G. Stefanopoulou, & Jason B. Siegel. (2020). Li-ion Battery Fault Detection in Large Packs Using Force and Gas Sensors. IFAC-PapersOnLine. 53(2). 12491–12496. 23 indexed citations

6.

Cai, Ting, et al.. (2020). Detection of Li-ion battery failure and venting with Carbon Dioxide sensors. eTransportation. 7. 100100–100100. 162 indexed citations

7.

Cai, Ting, Anna G. Stefanopoulou, & Jason B. Siegel. (2019). Modeling Li-Ion Battery Temperature and Expansion Force during the Early Stages of Thermal Runaway Triggered by Internal Shorts. Journal of The Electrochemical Society. 166(12). A2431–A2443. 69 indexed citations

8.

Cai, Ting, Anna G. Stefanopoulou, & Jason B. Siegel. (2019). Early Detection for Li-Ion Batteries Thermal Runaway Based on Gas Sensing. ECS Meeting Abstracts. MA2019-01(6). 586–586. 4 indexed citations

9.

Cai, Ting, Anna G. Stefanopoulou, & Jason B. Siegel. (2019). Early Detection for Li-Ion Batteries Thermal Runaway Based on Gas Sensing. ECS Transactions. 89(1). 85–97. 57 indexed citations

10.

Cai, Ting, Anna G. Stefanopoulou, & Jason B. Siegel. (2018). Modeling Li-Ion Battery Thermal Runaway Using a Three Section Thermal Model. 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.

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