Qiaoling Tong

2.9k citations
109 papers · 2.2k indexed · 1 hit paper · h-index 19
Topics
3D IC and TSV technologies (35 papers)Semiconductor materials and devices (21 papers)Advanced DC-DC Converters (20 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaApplied Physics Letters

In The Last Decade

Qiaoling Tong

100 papers receiving 2.1k citations

Hit Papers

SEMICONDUCTOR WAFER BONDING19982026200720161998100200300400

Peers

Qiaoling Tong
Comparison fields: 5 of 81
  • Electrical and Electronic Engineering 1.9k
  • Biomedical Engineering 513
  • Atomic and Molecular Physics, and Optics 389
  • Materials Chemistry 258
  • Computational Mechanics 122
Replace T. Nakamura with:
T. Nakamura Japan
P.W. Wyatt United States
Otwin Breitenstein Germany
L. Di Cioccio France
Donald S. Gardner United States
Christopher A. Bower United States
Jian‐Qiang Lu United States
E. G. Colgan United States
R. Reif United States
Hans‐Erik Nilsson Sweden
Qiaoling Tong relative to T. Nakamura Japan T. Nakamura's profile →
Citations per field
00.5×1.5×1.9×
T. Nakamura · 1×
Citations per year

Countries citing papers authored by Qiaoling Tong

Since Specialization
Citations

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

Fields of papers citing papers by Qiaoling Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiaoling Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Qiaoling Tong. A scholar is included among the top collaborators of Qiaoling Tong 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 Qiaoling Tong. Qiaoling Tong 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 1
2 2
3 1
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5 2
6 1
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10 2
11
Dead-beat controller with inductor current prediction for boost converter
5
12 0
13 6
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15 1
16
Predictive control for a permanent magnet synchronous motor using automatic tuning Smith-predictor with optimal parameter mismatch
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18 25
19 1
20 4

About Qiaoling Tong

Qiaoling Tong is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Automotive Engineering, having authored 109 papers that have together received 2.2k indexed citations. Recurring topics across this work include 3D IC and TSV technologies (35 papers), Semiconductor materials and devices (21 papers) and Advanced DC-DC Converters (20 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.9k citations), Atomic and Molecular Physics, and Optics (389 citations) and Biomedical Engineering (513 citations). Qiaoling Tong has collaborated with scholars based in China, United States and Germany. Frequent co-authors include U. Gösele, U. Gösele, S. Hopfe, Fang‐Lin Chao, Manfred Reiche, Roland W. Scholz, Lida Huang, T. Y. Tan, Xuecheng Zou and Run Min. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Applied Physics Letters.

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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