Xin Lv

1.2k total citations
37 papers, 680 citations indexed

About

Xin Lv is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Xin Lv has authored 37 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Ecology. Recurrent topics in Xin Lv's work include Topic Modeling (9 papers), Advanced Graph Neural Networks (8 papers) and Remote Sensing in Agriculture (5 papers). Xin Lv is often cited by papers focused on Topic Modeling (9 papers), Advanced Graph Neural Networks (8 papers) and Remote Sensing in Agriculture (5 papers). Xin Lv collaborates with scholars based in China, Singapore and United States. Xin Lv's co-authors include Juanzi Li, Zhiyuan Liu, Xu Han, Lei Hou, Shulin Cao, Maosong Sun, Yankai Lin, Jiang Liu, Yingchun Li and Hui Tang and has published in prestigious journals such as IEEE Access, Frontiers in Plant Science and RSC Advances.

In The Last Decade

Xin Lv

32 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xin Lv China	12	417	124	77	76	55	37	680
Lili Jiang Sweden	11	242 0.6×	52 0.4×	143 1.9×	35 0.5×	71 1.3×	38	647
Zichen Li China	9	434 1.0×	286 2.3×	58 0.8×	15 0.2×	100 1.8×	30	871
Jinhong Jung South Korea	12	215 0.5×	98 0.8×	47 0.6×	17 0.2×	53 1.0×	54	476
Lijuan Wang China	15	363 0.9×	398 3.2×	49 0.6×	15 0.2×	71 1.3×	46	910
Jingyi Wang China	17	347 0.8×	100 0.8×	38 0.5×	7 0.1×	96 1.7×	98	831
Xiyue Zhang China	11	224 0.5×	35 0.3×	42 0.5×	17 0.2×	137 2.5×	31	527
Vivek Kumar Verma India	12	102 0.2×	194 1.6×	102 1.3×	16 0.2×	38 0.7×	54	690
Shuang Han China	9	83 0.2×	59 0.5×	39 0.5×	19 0.3×	26 0.5×	32	340
Xin Jin China	21	246 0.6×	100 0.8×	17 0.2×	28 0.4×	409 7.4×	84	1.1k

Countries citing papers authored by Xin Lv

Since Specialization

Citations

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

Fields of papers citing papers by Xin Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Lv

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Chu, et al.. (2025). Automated detection of cotton aphids (Aphis gossypii Glover) using a bi-enhanced attention mechanism and domain-adaptive transfer learning strategy. Artificial Intelligence Review. 59(2).

Wang, Jingang, Mengli Zhang, Qiang Zhang, et al.. (2025). Assessment and prediction of soil heavy metal pollution in cotton fields by multi-source data feature fusion combined with machine learning. Industrial Crops and Products. 233. 121447–121447.

Chen, Shun, et al.. (2025). Deep learning time-series prediction method for cotton nitrogen content based on small sample hyperspectral data. Industrial Crops and Products. 233. 121467–121467.

Lv, Xin, et al.. (2024). “Image-Spectral” fusion monitoring of small cotton samples nitrogen content based on improved deep forest. Computers and Electronics in Agriculture. 221. 109002–109002. 5 indexed citations

Wang, Haijiang, Jing Cui, Xiaoyan Shi, et al.. (2024). Improving the accuracy of cotton seedling emergence rate estimation by fusing UAV-based multispectral vegetation indices. Frontiers in Plant Science. 15. 1333089–1333089. 6 indexed citations

Shi, Xiaoyan, Haijiang Wang, Xin Lv, et al.. (2023). Improving the monitoring of root zone soil salinity under vegetation cover conditions by combining canopy spectral information and crop growth parameters. Frontiers in Plant Science. 14. 1171594–1171594. 8 indexed citations

Zhang, Tianshuo, et al.. (2023). An overview of digital image analog noise removal based on traditional filtering. 109–109. 1 indexed citations

Shi, Xiaoyan, Haijiang Wang, Weidi Li, et al.. (2023). Three‐dimensional simulation on spatiotemporal variation of salinity in reclaimed saline soil and yield reduction risk assessment. Land Degradation and Development. 34(12). 3636–3647. 3 indexed citations

Lv, Xin, Yixin Cao, Lei Hou, et al.. (2021). Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8899–8911. 5 indexed citations

10.

Zhou, Jie, Shengding Hu, Xin Lv, et al.. (2021). KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion. 1751–1763. 4 indexed citations

11.

Lv, Xin, Xu Han, Lei Hou, et al.. (2020). Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph. 5694–5703. 35 indexed citations

12.

Jin, Cong, et al.. (2020). A Style-Specific Music Composition Neural Network. Neural Processing Letters. 52(3). 1893–1912. 28 indexed citations

13.

Jian, Zhiqiang, Songyi Zhang, Shitao Chen, Xin Lv, & Nanning Zheng. (2019). High-Definition Map Combined Local Motion Planning and Obstacle Avoidance for Autonomous Driving. 2180–2186. 15 indexed citations

14.

Lv, Xin, Yuxian Gu, Xu Han, et al.. (2019). Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. 3374–3379. 61 indexed citations

15.

Li, Hongning, et al.. (2019). PSO-Based Agent Cooperative Spectrum Sensing in Cognitive Radio Networks. IEEE Access. 7. 142963–142973. 9 indexed citations

16.

Yin, Changchang, Rongjian Zhao, Buyue Qian, Xin Lv, & Ping Zhang. (2019). Domain Knowledge Guided Deep Learning with Electronic Health Records. 738–747. 44 indexed citations

17.

Jin, Cong, et al.. (2019). Music Classification using Multiclass Support Vector Machine and Multilevel Wasserstein Means. 408–412.

18.

Han, Xu, Shulin Cao, Xin Lv, et al.. (2018). OpenKE: An Open Toolkit for Knowledge Embedding. 139–144. 191 indexed citations

19.

Lv, Xin, Lei Hou, Juanzi Li, & Zhiyuan Liu. (2018). Differentiating Concepts and Instances for Knowledge Graph Embedding. 1971–1979. 50 indexed citations

20.

Li, Yingchun, Jiang Liu, Qunhui Yuan, et al.. (2016). A green adsorbent derived from banana peel for highly effective removal of heavy metal ions from water. RSC Advances. 6(51). 45041–45048. 105 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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