Le Hou

14 papers receiving 233 citations

Le Hou's Hit Papers

Large Language Models Can Self-Improve 2023 · 107 citations
1070+1+2Years since publication255075100

Peers

Le Hou
Comparison fields: 5 of 75
  • Health Informatics 14
  • Earth-Surface Processes 37
  • Otorhinolaryngology 15
  • Civil and Structural Engineering 72
  • Artificial Intelligence 93
Replace J. Damián Segrelles with:
J. Damián Segrelles Spain
Marina Khoroshiltseva Italy
Alberto Barontini Portugal
Longhui Zhang China
Stefano Cursi Italy
Davide Simeone Italy
Chung‐Jung Lee Taiwan
Barbaros Atmaca Türkiye
Daisy Yi Ding United States
Wei‐Hsing Huang Taiwan
Le Hou relative to J. Damián Segrelles Spain J. Damián Segrelles's profile →
Citations per field
00.5×10×14.4×
J. Damián Segrelles · 1×
Citations per year

Countries citing papers authored by Le Hou

Since Specialization
Citations

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

Fields of papers citing papers by Le Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Large Language Models Can Self-Improve
Hit paper breakdown →
2023107
2 201843
3 201635
4 201616
5 202311
6 202311
7 20175
8 20253
9 20242
10
Experiment on screening dispersants of pulverized coal with different sizes in CBM well-washing technology
20172
11 20242
12 20202
13
Effect of the Mixture of Swine Manure and Phosphogypsum on Chemical Properties of Soil Polluted by Dust from Magnesite Calcination
20061
14 20251

About Le Hou

Le Hou is a scholar working on Civil and Structural Engineering, Pollution, Artificial Intelligence, Earth-Surface Processes and Surgery, having authored 14 papers that have together received 241 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Concrete and Cement Materials Research (3 papers), Building materials and conservation (3 papers), Topic Modeling (3 papers), Smart Materials for Construction (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Reliability and Maintenance Optimization (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Health Informatics (14 citations), Earth-Surface Processes (37 citations), Otorhinolaryngology (15 citations), Civil and Structural Engineering (72 citations) and Artificial Intelligence (93 citations). Le Hou has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Zanqun Liu, Yuexin Wu, Jiaxin Huang, Xuezhi Wang, Hongkun Yu, Jiawei Han, Shixiang Gu, Wenlong Hu, Dehua Deng and Dehua Deng. Their work appears in journals such as Construction and Building Materials, Air Quality Atmosphere & Health, Acta Oto-Laryngologica, Reliability Engineering & System Safety and Ecotoxicology and Environmental Safety.

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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