Teng Yi

516 citations
31 papers · 355 · h-index 10

Impact in

Papers in

Teng Yi

24 papers receiving 349 citations

Peers

Teng Yi
Comparison fields: 5 of 73
  • Health Informatics 17
  • Industrial and Manufacturing Engineering 89
  • Artificial Intelligence 133
  • Health Information Management 15
  • Condensed Matter Physics 39
Replace Adrià Salvador Palau with:
Adrià Salvador Palau United Kingdom
Marius Marcu Romania
Changsheng Zhu China
Eduardo Costa da Silva Brazil
Salvatore Rinaudo Italy
Katsutoshi Hirayama Japan
S. J. Noronha United States
Martin J. N. Sibley United Kingdom
Manju K. Chattopadhyay India
Teng Yi relative to Adrià Salvador Palau United Kingdom Adrià Salvador Palau's profile →
Citations per field
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Adrià Salvador Palau · 1×
Citations per year

Countries citing papers authored by Teng Yi

Since Specialization
Citations

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

Fields of papers citing papers by Teng Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Teng Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Teng Yi Line = papers co-authored together Teng Yi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202174
2 202170
3 202145
4 202126
5 201724
6 201824
7 201314
8 201813
9 202310
10 201710
11 20218
12 20217
13 20237
14 20246
15 20213
16 20223
17 20252
18 20192
19 20242
20 20251

About Teng Yi

Teng Yi is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 355 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (8 papers), Topological Materials and Phenomena (6 papers), Physics of Superconductivity and Magnetism (6 papers), Quantum Computing Algorithms and Architecture (3 papers), Electronic and Structural Properties of Oxides (3 papers), Neural Networks and Reservoir Computing (3 papers), Thermoregulation and physiological responses (2 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Health Informatics (17 citations), Industrial and Manufacturing Engineering (89 citations), Artificial Intelligence (133 citations), Health Information Management (15 citations) and Condensed Matter Physics (39 citations). Teng Yi has collaborated with scholars based in China, United Kingdom and South Sudan. Frequent co-authors include Zizhen Zhang, Feifei Zhang, Jun Xu, Hu Qin, Kai Wang, Mi Ζhou, Tao Li, Jiahai Wang, D. A. Ritchie and Reuben K. Puddy. Their work appears in journals such as Advanced Electronic Materials, Applied Intelligence, Energy and AI, International Journal of Nursing Studies and IEEE Transactions on Applied Superconductivity.

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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