Eric Zhang

1.8k citations
59 papers · 1k · h-index 14

Impact in

Papers in

Eric Zhang

58 papers receiving 984 citations

Peers

Eric Zhang
Comparison fields: 5 of 65
  • Spectroscopy 253
  • Electrical and Electronic Engineering 451
  • Artificial Intelligence 173
  • Computer Vision and Pattern Recognition 86
  • Atomic and Molecular Physics, and Optics 71
Replace Nandini Bhattacharya with:
Nandini Bhattacharya Netherlands
Philip C. D. Hobbs United States
Hugues Guillet de Chatellus France
Steven M. Jones United Kingdom
Eric Numkam Fokoua United Kingdom
Gregory T. Jasion United Kingdom
Thomas D. Bradley United Kingdom
Timothy Day United States
Jérôme Genest Canada
Xiaodan Pang Sweden
Eric Zhang relative to Nandini Bhattacharya Netherlands Nandini Bhattacharya's profile →
Citations per field
00.5×1.5×2×2.5×
Nandini Bhattacharya · 1×
Citations per year

Countries citing papers authored by Eric Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Eric Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017190
2 202394
3 201480
4 202269
5 202265
6 201057
7 201150
8 201546
9 201426
10 201926
11 202126
12 201424
13 201119
14 202319
15
Predicting effects of climate fluctuations for water management by applying neural network
199613
16 201613
17 201612
18 201812
19 201912
20 201911

About Eric Zhang

Eric Zhang is a scholar working on Spectroscopy, Electrical and Electronic Engineering, Radiation, Media Technology and Artificial Intelligence, having authored 59 papers that have together received 1k indexed citations. Recurring topics across this work include Spectroscopy and Laser Applications (21 papers), Photonic and Optical Devices (9 papers), Radio Frequency Integrated Circuit Design (5 papers), Radiation Detection and Scintillator Technologies (5 papers), Analog and Mixed-Signal Circuit Design (4 papers), Telecommunications and Broadcasting Technologies (4 papers), Quantum Information and Cryptography (4 papers) and Advancements in PLL and VCO Technologies (4 papers). The work is most often cited by research in Spectroscopy (253 citations), Electrical and Electronic Engineering (451 citations), Artificial Intelligence (173 citations), Computer Vision and Pattern Recognition (86 citations) and Atomic and Molecular Physics, and Optics (71 citations). Eric Zhang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jason S. Orcutt, L. Tombez, Swetha Kamlapurkar, W. M. J. Green, Gerard Wysocki, Humphrey Shi, Wesley D. Sacher, Joyce K. S. Poon, Kai Wang and Zhangyang Wang. Their work appears in journals such as Optics Express, IEEE Journal of Solid-State Circuits, Sensors, Nanoscale and Science Advances.

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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