Jiang Lu

1.1k total citations · 1 hit paper
39 papers, 684 citations indexed

About

Jiang Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jiang Lu has authored 39 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Jiang Lu's work include Domain Adaptation and Few-Shot Learning (8 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Distributed Sensor Networks and Detection Algorithms (5 papers). Jiang Lu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Distributed Sensor Networks and Detection Algorithms (5 papers). Jiang Lu collaborates with scholars based in China, United States and Singapore. Jiang Lu's co-authors include Changshui Zhang, Guannan Zhao, Jie Hu, Zhong Cao, Liping Yan, Jian Liang, Sheng Jin, Mengyin Fu, Pinghua Gong and Jieping Ye and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Jiang Lu

34 papers receiving 663 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An in-field automatic wheat disease diagnosis system

2017 268 citations Jiang Lu, Jie Hu et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiang Lu China	12	269	196	161	126	51	39	684
Kemal Adem Türkiye	13	301 1.1×	250 1.3×	159 1.0×	135 1.1×	16 0.3×	47	877
Geeta Rani India	14	265 1.0×	110 0.6×	95 0.6×	88 0.7×	27 0.5×	58	643
Meili Sun China	7	162 0.6×	138 0.7×	77 0.5×	84 0.7×	27 0.5×	10	598
Hilman F. Pardede Indonesia	15	326 1.2×	190 1.0×	80 0.5×	172 1.4×	16 0.3×	106	887
Vinay Gautam India	14	595 2.2×	97 0.5×	77 0.5×	211 1.7×	19 0.4×	90	881
Vijay S. Rajpurohit India	15	296 1.1×	198 1.0×	50 0.3×	129 1.0×	15 0.3×	49	641
L V Narasimha Prasad India	12	220 0.8×	137 0.7×	85 0.5×	103 0.8×	22 0.4×	54	665
Naresh Kumar Trivedi India	13	319 1.2×	99 0.5×	64 0.4×	119 0.9×	17 0.3×	73	615
Poonam Dhiman India	8	249 0.9×	65 0.3×	66 0.4×	120 1.0×	12 0.2×	14	498
Asif Iqbal Khan India	8	162 0.6×	63 0.3×	72 0.4×	56 0.4×	16 0.3×	22	413

Countries citing papers authored by Jiang Lu

Since Specialization

Citations

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

Fields of papers citing papers by Jiang Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Lu. A scholar is included among the top collaborators of Jiang Lu 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 Jiang Lu. Jiang Lu 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

1.

Lu, Jiang, et al.. (2025). CLIP-Based Multi-Modal Feature Learning for Cloth-Changing Person Re-Identification. IEEE Transactions on Image Processing. 34. 5570–5583.

2.

Fu, Yukui, et al.. (2025). RL-GCL: Reinforcement Learning-Guided Contrastive Learning for molecular property prediction. Information Fusion. 122. 103208–103208. 1 indexed citations

3.

Lu, Jiang, Lianlian Wu, Ruijiang Li, et al.. (2025). ToxACoL: an endpoint-aware and task-focused compound representation learning paradigm for acute toxicity assessment. Nature Communications. 16(1). 5992–5992. 1 indexed citations

4.

Lu, Jiang. (2024). Computer model of display design based on Internet of Things prototype system. International Journal of Grid and Utility Computing. 15(3/4). 231–243.

5.

Lu, Jiang, et al.. (2024). Meta-Modulation: A General Learning Framework for Cross-Task Adaptation. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6407–6421. 1 indexed citations

6.

Lu, Jiang. (2024). Exploration of Virtual Reality Technology Enabling Diversified Teaching Models of Civics and Politics. Applied Mathematics and Nonlinear Sciences. 9(1). 1 indexed citations

7.

Chen, Yiwen, et al.. (2024). Text-Driven Image Editing via Learnable Regions. 7059–7068. 7 indexed citations

8.

Lu, Jiang, et al.. (2023). Comparison of Adsorbents for Cesium and Strontium in Different Solutions. Separations. 10(4). 266–266. 8 indexed citations

9.

Lu, Jiang, et al.. (2023). Shape of large single- and multiple-shell fullerenes. Carolina Digital Repository (University of North Carolina at Chapel Hill).

10.

Lu, Jiang, Zhiqian Jia, Xin Xu, et al.. (2022). Preparation of antimicrobial activated carbon fiber for adsorption. Journal of Porous Materials. 29(4). 1071–1081. 7 indexed citations

11.

Lu, Jiang, Zhiqian Jia, Xin Xu, et al.. (2021). Preparation of antimicrobial activated carbon fiber by loading with silver nanoparticles. Colloids and Surfaces A Physicochemical and Engineering Aspects. 633. 127868–127868. 17 indexed citations

12.

Lu, Jiang, et al.. (2017). An in-field automatic wheat disease diagnosis system. Computers and Electronics in Agriculture. 142. 369–379. 268 indexed citations breakdown →

13.

Lu, Jiang, et al.. (2017). Asynchronous Multirate Multisensor Data Fusion Over Unreliable Measurements With Correlated Noise. IEEE Transactions on Aerospace and Electronic Systems. 53(5). 2427–2437. 42 indexed citations

14.

Yan, Liping, Jiang Lu, Yuanqing Xia, et al.. (2016). Optimal sequential estimation for multirate dynamic systems with unreliable measurements and correlated noise. 4900–4905. 6 indexed citations

15.

Sun, Qingquan, et al.. (2014). Low-Cost Pyroelectric Sensor Networks for Bayesian Crowded Scene Analysis. 14. 88–95. 1 indexed citations

16.

Sun, Qingquan, et al.. (2014). Non-informative hierarchical Bayesian inference for non-negative matrix factorization. Signal Processing. 108. 309–321. 10 indexed citations

17.

Lu, Jiang. (2009). Effects of Traditional and Digital Media on Student Learning in Space Design. 2(1). 5. 3 indexed citations

18.

Lu, Jiang. (2008). An empirical study of the relationship of psychological safety,team learning capacity and team performance. Kexuexue yanjiu. 1 indexed citations

19.

Lu, Jiang. (2006). Human Capital and Economic Growth:A Model Analysis. Systems Engineering - Theory & Practice.

20.

Lu, Jiang. (2006). Brain Functional Networks in Numbers' Recitation Process. 1 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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