Bobin Deng: h-index, Total Citations, and Citation Map
Bobin Deng's h-index is 10 (10 i10-index, 416+ total citations across 44+ publications) according to Google Scholar as of June 2026. Bobin Deng is affiliated with Kennesaw State University.
Bobin Deng is a researcher affiliated with Kennesaw State University, specializing in Computer Architecture, Machine Learning, Neuromorphic Computing. Their work has been cited 416 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Bobin Deng's Citation Metrics
Bibliometric impact based on 44 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 10
- i10-Index
- 10
- Total Citations
- 416
- Citing Countries
- 52
As of June 2026.
Bobin Deng has an h-index of 10 and 416 total citations across 44 publications, with research cited by institutions in 52 countries.
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Global Impact Map
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AI-driven deep learning techniques in protein structure prediction
2024159+103
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
37 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered empirical frameworks for deploying large language and vision models on resource-constrained edge devices, establishing foundational methodologies for efficient AIoT systems.
The researcher pioneered computationally error-tolerant computing to extend Moore's Law, developing scalable, energy-efficient microarchitectures using redundant residue number systems.
The researcher advanced AI-driven deep learning for protein structure prediction, subsequently extending this framework to automate molecular dynamics simulations with binding affinity prediction.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Bobin Deng's research
Bobin Deng is a researcher in Computer Architecture, Machine Learning and Neuromorphic Computing at Kennesaw State University. Their work has been cited 416 times across 44 publications (h-index 10), according to Google Scholar.
Their most-cited work, “AI-driven deep learning techniques in protein structure prediction” (2024), has accumulated 159 citations. Other influential works include “An empirical analysis and resource footprint study of deploying large language models on edge devices” (2024) with 72 citations and “Characterizing and understanding the performance of small language models on edge devices” (2024) with 28 citations.
Citations of Bobin Deng's research come primarily from China, United States and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
