Liufeng Tao

881 total citations
52 papers, 562 citations indexed

About

Liufeng Tao is a scholar working on Artificial Intelligence, Geography, Planning and Development and Molecular Biology. According to data from OpenAlex, Liufeng Tao has authored 52 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 18 papers in Geography, Planning and Development and 10 papers in Molecular Biology. Recurrent topics in Liufeng Tao's work include Geographic Information Systems Studies (18 papers), Topic Modeling (16 papers) and Semantic Web and Ontologies (11 papers). Liufeng Tao is often cited by papers focused on Geographic Information Systems Studies (18 papers), Topic Modeling (16 papers) and Semantic Web and Ontologies (11 papers). Liufeng Tao collaborates with scholars based in China, Rwanda and Maldives. Liufeng Tao's co-authors include Zhong Xie, Qinjun Qiu, Kai Ma, Liang Wu, Qinjun Qiu, Wenjia Li, Yongyang Xu, Miao Tian, Wei Luo and Hairong Lv and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Liufeng Tao

42 papers receiving 538 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liufeng Tao China 12 404 91 79 73 70 52 562
Qinjun Qiu China 15 472 1.2× 104 1.1× 47 0.6× 87 1.2× 74 1.1× 47 598
Qinjun Qiu China 11 218 0.5× 40 0.4× 57 0.7× 35 0.5× 46 0.7× 25 386
Chengbin Wang China 12 439 1.1× 43 0.5× 24 0.3× 61 0.8× 58 0.8× 30 601
Kai Ma China 15 360 0.9× 76 0.8× 46 0.6× 60 0.8× 43 0.6× 61 512
Weijing Song China 12 137 0.3× 23 0.3× 90 1.1× 16 0.2× 31 0.4× 33 588
Boyan Brodaric Canada 12 235 0.6× 152 1.7× 16 0.2× 133 1.8× 18 0.3× 36 365
Chaoling Li China 10 114 0.3× 28 0.3× 66 0.8× 202 2.8× 4 0.1× 44 486
Xueying Zhang China 12 181 0.4× 145 1.6× 71 0.9× 18 0.2× 16 0.2× 31 468
Reza Nouri Australia 12 307 0.8× 5 0.1× 73 0.9× 12 0.2× 64 0.9× 18 444
Robert Jeansoulin France 9 93 0.2× 139 1.5× 24 0.3× 15 0.2× 52 0.7× 25 309

Countries citing papers authored by Liufeng Tao

Since Specialization
Citations

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

Fields of papers citing papers by Liufeng Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liufeng Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Liufeng Tao. A scholar is included among the top collaborators of Liufeng Tao 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 Liufeng Tao. Liufeng Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Qiu, Qinjun, Kai Ma, Zehua Huang, et al.. (2025). Negative Sample Generation for Geographic Knowledge Graph Embedding via Joint Entity Semantic Similarity and Clustering. Transactions in GIS. 29(2).
3.
Qiu, Qinjun, Miao Tian, Qirui Wu, et al.. (2025). Joint extraction method for entity relations from mineral resources reports integrating dependency parsing and improved graph convolutional networks. Ore Geology Reviews. 182. 106640–106640. 1 indexed citations
4.
Qiu, Qinjun, et al.. (2024). An interoperable software system to store, associate, visualize, and publish global open science data of earth surface system. Environmental Modelling & Software. 178. 106070–106070. 5 indexed citations
5.
Qiu, Qinjun, Yang Wang, Jiandong Liu, et al.. (2024). Document image layout detection from scientific literature using combined ConvNext and cascade mask RCNN networks. International Journal on Document Analysis and Recognition (IJDAR). 28(4). 519–538.
6.
Tao, Liufeng, et al.. (2024). Pan-spatial Earth information system: A new methodology for cognizing the earth system. The Innovation. 6(3). 100770–100770. 1 indexed citations
7.
Qiu, Qinjun, et al.. (2024). AutoGeoFAIR: A framework for evaluating the sharing degree of open earth surface system data based on extended FAIR principles. Journal of Environmental Management. 372. 123432–123432.
8.
Tian, Miao, Kai Ma, Qirui Wu, et al.. (2024). Joint extraction of entity relations from geological reports based on a novel relation graph convolutional network. Computers & Geosciences. 187. 105571–105571. 10 indexed citations
9.
Qiu, Qinjun, Miao Tian, Liufeng Tao, Zhong Xie, & Kai Ma. (2024). Semantic information extraction and search of mineral exploration data using text mining and deep learning methods. Ore Geology Reviews. 165. 105863–105863. 9 indexed citations
10.
Ma, Kai, Tian Miao, Liufeng Tao, et al.. (2024). Multi-granularity retrieval of mineral resource geological reports based on multi-feature association. Ore Geology Reviews. 165. 105889–105889. 2 indexed citations
11.
Ma, Kai, et al.. (2024). GeoNER: Geological Named Entity Recognition with Enriched Domain Pre‐Training Model and Adversarial Training. Acta Geologica Sinica - English Edition. 98(5). 1404–1417.
12.
Tao, Liufeng, Kai Ma, Miao Tian, et al.. (2023). Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association. ISPRS International Journal of Geo-Information. 13(1). 14–14. 1 indexed citations
13.
Qiu, Qinjun, et al.. (2023). A Practical Approach to Constructing a Geological Knowledge Graph: A Case Study of Mineral Exploration Data. Journal of Earth Science. 34(5). 1374–1389. 11 indexed citations
14.
Qiu, Qinjun, Miao Tian, Zhen Huang, et al.. (2023). Chinese engineering geological named entity recognition by fusing multi-features and data enhancement using deep learning. Expert Systems with Applications. 238. 121925–121925. 17 indexed citations
15.
Miao, Tian, Xinxin Hu, Kai Ma, et al.. (2023). Spatio-Temporal Relevance Classification from Geographic Texts Using Deep Learning. ISPRS International Journal of Geo-Information. 12(9). 359–359. 3 indexed citations
16.
17.
Qiu, Qinjun, Kai Ma, Liufeng Tao, et al.. (2023). Integrating NLP and Ontology Matching into a Unified System for Automated Information Extraction from Geological Hazard Reports. Journal of Earth Science. 34(5). 1433–1446. 6 indexed citations
18.
Tao, Liufeng, et al.. (2022). Geographic Named Entity Recognition by Employing Natural Language Processing and an Improved BERT Model. ISPRS International Journal of Geo-Information. 11(12). 598–598. 18 indexed citations
19.
He, Zhanjun, et al.. (2020). Discovering spatial interaction patterns of near repeat crime by spatial association rules mining. Scientific Reports. 10(1). 17262–17262. 18 indexed citations
20.
Wu, Liang, et al.. (2018). Matching Descriptions to Spatial Entities Using a Siamese Hierarchical Attention Network. IEEE Access. 6. 28064–28072. 9 indexed citations

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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