Walter Wang

22 papers receiving 4.5k citations

Walter Wang's Hit Papers

In-Datacenter Performance Analysis of a Tensor Processing Unit 2017 · 796 citations
7960+3+6Years since publication10002.0k3.0k

Peers

Walter Wang
Comparison fields: 5 of 158
  • Hardware and Architecture 1.1k
  • Computational Mathematics 75
  • Computer Vision and Pattern Recognition 1.6k
  • Artificial Intelligence 1.5k
  • Electrical and Electronic Engineering 2.1k
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Countries citing papers authored by Walter Wang

Since Specialization
Citations

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

Fields of papers citing papers by Walter Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Walter Wang, 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 Walter Wang Line = papers co-authored together Walter Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In-Datacenter Performance Analysis of a Tensor Processing Unit
Hit paper breakdown →
20173237
2
In-Datacenter Performance Analysis of a Tensor Processing Unit
Hit paper breakdown →
2017796
3 2015200
4 201876
5 201972
6 202254
7 202050
8 201128
9 201320
10 202119
11 202118
12 201613
13 201113
14 202112
15 201810
16
The relation between news and stock price jump: an analysis based on neural network
20133
17 20152
18 20102
19 20082
20 20231

About Walter Wang

Walter Wang is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Hardware and Architecture and Epidemiology, having authored 23 papers that have together received 4.6k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (4 papers), Organ Transplantation Techniques and Outcomes (3 papers), Advancements in Photolithography Techniques (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Advanced Data Storage Technologies (2 papers) and Copper Interconnects and Reliability (2 papers). The work is most often cited by research in Hardware and Architecture (1.1k citations), Computational Mathematics (75 citations), Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (1.5k citations) and Electrical and Electronic Engineering (2.1k citations). Walter Wang has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include David Paul Carbone, Joseph M. Amann, Philip N. Tsichlis, David M. Feldser, Meifang Wang, ALLAN W. JONES, Ronald J. Korthuis, Caroline Kim-Kiselak, Michelle Cicchini and Kate L. Stokes. Their work appears in journals such as The FASEB Journal, American Journal of Physiology-Gastrointestinal and Liver Physiology, Cancer Research, Cell Death and Disease and Journal of Photopolymer Science and Technology.

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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