Chunting Zhou: h-index, Total Citations, and Citation Map
Chunting Zhou's h-index is 30 (37 i10-index, 10,057+ total citations across 5+ publications) according to Google Scholar as of June 2026. Chunting Zhou is affiliated with Unknown affiliation.
Chunting Zhou is a researcher affiliated with Unknown affiliation, specializing in Natural Language Processing, Machine Learning. Their work has been cited 10,057 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Chunting Zhou's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 30
- i10-Index
- 37
- Total Citations
- 10,057
- Citing Countries
- 16
As of June 2026.
Chunting Zhou has an h-index of 30 and 10,057 total citations across 5 publications, with research cited by institutions in 16 countries.
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We've mapped 5,000 of 10,057 citations for Chunting Zhou
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Lima: Less is more for alignment
20232,052
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.
The researcher advanced alignment efficiency by demonstrating that reduced complexity can enhance performance, a finding that has significantly influenced the field.
The researcher developed a C-LSTM neural network architecture for text classification, establishing a highly cited foundational method in natural language processing.
The researcher established a unified theoretical framework for parameter-efficient transfer learning, providing a foundational reference that has been widely adopted by the independent research community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Chunting Zhou's research
Chunting Zhou is a researcher in Natural Language Processing and Machine Learning at Unknown affiliation. Their work has been cited 10,057 times across 5 publications (h-index 30), according to Google Scholar.
Their most-cited work, “Lima: Less is more for alignment” (2023), has accumulated 2,052 citations. Other influential works include “Towards a unified view of parameter-efficient transfer learning” (2022) with 1,501 citations and “A C-LSTM Neural Network for Text Classification” (2015) with 1,370 citations.
Citations of Chunting Zhou's research come primarily from United States, China and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
