Zhuohan Li

41 papers receiving 1.1k citations

Zhuohan Li's Hit Papers

Systematic softening in universal machine learning interatomic potentials 2025 · 51 citations
510+2+4Years since publication200400600

Peers

Zhuohan Li
Comparison fields: 5 of 145
  • Pollution 375
  • Radiological and Ultrasound Technology 59
  • Health, Toxicology and Mutagenesis 135
  • Analytical Chemistry 82
  • Geochemistry and Petrology 48
Replace Rajeev Kumar with:
Rajeev Kumar India
Bharat Singh India
Qingwei Guo China
Bingxiang Liu China
Kaiyi Wang China
Weiqi Chen China
Jiawei Ma China
Qingqing Huang China
Shuo Wang China
Tingting Wu China
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Citations per year

Countries citing papers authored by Zhuohan Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhuohan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Soil heavy metal pollution and food safety in China: Effects, sources and removing technology
Hit paper breakdown →
2020662
2
Systematic softening in universal machine learning interatomic potentials
Hit paper breakdown →
202551
3 201850
4
Efficient Training of BERT by Progressively Stacking
201939
5
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
202039
6 201929
7 201927
8 202124
9
Fast Structured Decoding for Sequence Models
201921
10 201317
11 202316
12 202316
13 202016
14 201915
15 201814
16 201114
17 202114
18 202313
19 201312
20
Hint-based Training for Non-Autoregressive Translation
20188

About Zhuohan Li

Zhuohan Li is a scholar working on Artificial Intelligence, Materials Chemistry, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Mechanics of Materials, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (7 papers), Aerosol Filtration and Electrostatic Precipitation (4 papers), Topic Modeling (4 papers), High voltage insulation and dielectric phenomena (3 papers), Tunneling and Rock Mechanics (3 papers), Adhesion, Friction, and Surface Interactions (3 papers), Natural Language Processing Techniques (3 papers) and High-pressure geophysics and materials (3 papers). The work is most often cited by research in Pollution (375 citations), Radiological and Ultrasound Technology (59 citations), Health, Toxicology and Mutagenesis (135 citations), Analytical Chemistry (82 citations) and Geochemistry and Petrology (48 citations). Zhuohan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guowei Qin, Ping Xiang, Jiangdong Yu, Zhaodong Niu, Jiao-Yang Ma, Izabela Szlufarska, Yi An, Cheng Shao, Di He and Tao Qin. Their work appears in journals such as Physical Review Letters, International Journal of Biological Macromolecules, npj Computational Materials, Knowledge-Based Systems and Frontiers in Bioengineering and Biotechnology.

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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