Qinjun Qiu

927 total citations
47 papers, 598 citations indexed

About

Qinjun Qiu is a scholar working on Artificial Intelligence, Geography, Planning and Development and Management Science and Operations Research. According to data from OpenAlex, Qinjun Qiu has authored 47 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 17 papers in Geography, Planning and Development and 11 papers in Management Science and Operations Research. Recurrent topics in Qinjun Qiu's work include Geographic Information Systems Studies (17 papers), Topic Modeling (15 papers) and Semantic Web and Ontologies (12 papers). Qinjun Qiu is often cited by papers focused on Geographic Information Systems Studies (17 papers), Topic Modeling (15 papers) and Semantic Web and Ontologies (12 papers). Qinjun Qiu collaborates with scholars based in China, United States and Rwanda. Qinjun Qiu's co-authors include Zhong Xie, Kai Ma, Liufeng Tao, Wenjia Li, Liang Wu, Miao Tian, Yuan Zhou, Hairong Lv, Zhen Huang and Bin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Qinjun Qiu

43 papers receiving 577 citations

Peers

Qinjun Qiu

GPD

MSOR

Liufeng Tao China

Kai Ma China

Chengbin Wang China

Qinjun Qiu China

Boyan Brodaric Canada

Weijing Song China

Robert Jeansoulin France

Xueying Zhang China

Reza Nouri Australia

Liufeng Tao China

Qinjun Qiu

404 ×0.9

91 ×0.9

GPD

65 ×0.7

73 ×0.8

70 ×0.9

MSOR

Citations per year, relative to Qinjun Qiu Qinjun Qiu (= 1×) peers Liufeng Tao

Countries citing papers authored by Qinjun Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Qinjun Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinjun Qiu

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

All Works

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20 of 20 papers shown

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).

Cong, Gao, et al.. (2025). ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation. ACM Transactions on Information Systems. 43(3). 1–30. 1 indexed citations

Qiu, Qinjun, Yun Ma, Kai Ma, et al.. (2025). Domain knowledge-guided geological named entities recognition of rock minerals based on prompt engineering with error feedback mechanism. Computers & Geosciences. 201. 105944–105944.

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

Qiu, Qinjun, Tian Miao, Liufeng Tao, et al.. (2025). A deep learning architecture for aligning cross-domain geographic knowledge graph. International Journal of Geographical Information Systems. 39(8). 1823–1848. 1 indexed citations

Qiu, Qinjun, et al.. (2025). A deep learning method for 3D geological modeling using ET4DD with offset-attention mechanism. Computers & Geosciences. 200. 105929–105929. 1 indexed citations

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

Xie, Zhong, et al.. (2024). Deep Learning and Network Analysis: Classifying and Visualizing Geologic Hazard Reports. Journal of Earth Science. 35(4). 1289–1303. 6 indexed citations

Liu, Zheng, et al.. (2024). PyramidPCD: A novel pyramid network for point cloud denoising. Pattern Recognition. 161. 111228–111228. 2 indexed citations

10.

Qiu, Qinjun, Shiyu Zheng, Tian Miao, et al.. (2024). A deep neural network model for Chinese toponym matching with geographic pre-training model. International Journal of Digital Earth. 17(1). 6 indexed citations

11.

Chen, Yan, et al.. (2024). A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction. Earth Science Informatics. 17(3). 1867–1887. 7 indexed citations

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.

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

16.

Ma, Kai, et al.. (2023). Ontology-Based BERT Model for Automated Information Extraction from Geological Hazard Reports. Journal of Earth Science. 34(5). 1390–1405. 19 indexed citations

17.

Qiu, Qinjun, et al.. (2023). Understanding table content for mineral exploration reports using deep learning and natural language processing. Ore Geology Reviews. 156. 105383–105383. 2 indexed citations

18.

Qiu, Qinjun, Zhong Xie, Kai Ma, & Miao Tian. (2023). BERTCWS: unsupervised multi-granular Chinese word segmentation based on a BERT method for the geoscience domain. Annals of GIS. 29(3). 387–399. 4 indexed citations

19.

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

20.

Ma, Kai, et al.. (2022). Extraction of temporal information from social media messages using the BERT model. Earth Science Informatics. 15(1). 573–584. 19 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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