Libin Tang

14 papers receiving 943 citations

Hit Papers

Application of machine learning, deep learning and optimi...2020202620222024202220202022202250100150200250

Peers

Libin Tang
Comparison fields: 5 of 100
  • Civil and Structural Engineering 551
  • Safety, Risk, Reliability and Quality 380
  • Management, Monitoring, Policy and Law 377
  • Mechanics of Materials 152
  • Mechanical Engineering 118
Replace Xin Gu with:
Xin Gu China
Liang Han China
Yankun Wang China
Hongjian Liao China
Pedro Arduino United States
Ding Xia China
Xinhua Xue China
Mansour Mosallanezhad Iran
Yangping Yao China
Jie Hu China
Libin Tang relative to Xin Gu China Xin Gu's profile →
Citations per field
00.5×1.5×
Xin Gu · 1×
Citations per year

Countries citing papers authored by Libin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Libin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Libin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Libin Tang. A scholar is included among the top collaborators of Libin Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Libin Tang. Libin Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 7
2
Application of machine learning, deep learning and optimization algorithms in geoengineering and geoscience: Comprehensive review and future challengebreakdown →
256
3
Efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithmsbreakdown →
107
4
Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networksbreakdown →
124
5 11
6 52
7 4
8 109
9 25
10 1
11 47
12
Efficient reliability analysis of earth dam slope stability using extreme gradient boosting methodbreakdown →
220
13 2
14 1

About Libin Tang

Libin Tang is a scholar working on Safety, Risk, Reliability and Quality, Management, Monitoring, Policy and Law and Civil and Structural Engineering, having authored 14 papers that have together received 966 indexed citations. Recurring topics across this work include Dam Engineering and Safety (8 papers), Landslides and related hazards (8 papers) and Geotechnical Engineering and Analysis (6 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (380 citations), Management, Monitoring, Policy and Law (377 citations) and Civil and Structural Engineering (551 citations). Libin Tang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wengang Zhang, Xin Gu, SeonHong Na, Chongzhi Wu, Lin Wang, Dongsheng Liu, Yueping Yin, Yanmei Zhang, Suzanne Lacasse and Hanlong Liu. Their work appears in journals such as Gondwana Research, Computers and Geotechnics and Journal of Rock Mechanics and Geotechnical Engineering.

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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