Jiancheng Lv

6.4k total citations · 5 hit papers
195 papers, 3.9k citations indexed

About

Jiancheng Lv is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jiancheng Lv has authored 195 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Computer Vision and Pattern Recognition, 100 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in Jiancheng Lv's work include Face and Expression Recognition (28 papers), Generative Adversarial Networks and Image Synthesis (27 papers) and Topic Modeling (22 papers). Jiancheng Lv is often cited by papers focused on Face and Expression Recognition (28 papers), Generative Adversarial Networks and Image Synthesis (27 papers) and Topic Modeling (22 papers). Jiancheng Lv collaborates with scholars based in China, United States and Singapore. Jiancheng Lv's co-authors include Xi Peng, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang, Boyun Li, Shudong Huang, Yuanbiao Gou, Zhenyu Huang and Zenglin Xu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Jiancheng Lv

178 papers receiving 3.8k citations

Hit Papers

Automatically Designing CNN Architectures Using the Genet... 2020 2026 2022 2024 2020 2021 2022 2022 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiancheng Lv China 29 2.0k 1.8k 332 186 173 195 3.9k
Guoqiang Han China 37 2.0k 1.0× 1.4k 0.8× 298 0.9× 196 1.1× 148 0.9× 172 3.9k
Hau−San Wong Hong Kong 37 2.2k 1.1× 2.4k 1.3× 309 0.9× 187 1.0× 172 1.0× 227 4.4k
Jimmy Ba Canada 14 3.2k 1.6× 2.7k 1.5× 271 0.8× 240 1.3× 190 1.1× 34 5.2k
Yuhong Guo United States 27 1.7k 0.9× 1.9k 1.1× 272 0.8× 220 1.2× 96 0.6× 88 3.7k
Jérôme Louradour France 11 1.6k 0.8× 2.1k 1.1× 212 0.6× 150 0.8× 159 0.9× 27 3.7k
Wen Li China 29 2.0k 1.0× 1.7k 0.9× 209 0.6× 202 1.1× 188 1.1× 138 3.2k
Qingyao Wu China 31 1.7k 0.9× 1.9k 1.1× 155 0.5× 144 0.8× 147 0.8× 116 3.4k
Nojun Kwak South Korea 29 2.3k 1.1× 1.9k 1.1× 349 1.1× 159 0.9× 280 1.6× 151 4.4k

Countries citing papers authored by Jiancheng Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jiancheng Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiancheng Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Jiancheng Lv. A scholar is included among the top collaborators of Jiancheng 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 Jiancheng Lv. Jiancheng Lv 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
2.
Tang, Chun’an, Enming Cui, J. Zhou, et al.. (2025). Triple-Scale Structure-Induced Efficient Passive Radiative Cooling Combining Robust Anticondensation. ACS Nano. 19(20). 19384–19393. 3 indexed citations
3.
Xiao, Rong, et al.. (2025). STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 11479–11492.
4.
Huang, Shudong, Wentao Feng, Chenwei Tang, et al.. (2025). Partial Differential Equations Meet Deep Neural Networks: A Survey. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 13649–13669. 7 indexed citations
5.
Ren, Yilong, et al.. (2024). CLlight: Enhancing representation of multi-agent reinforcement learning with contrastive learning for cooperative traffic signal control. Expert Systems with Applications. 262. 125578–125578. 2 indexed citations
6.
Liu, Xianggen, et al.. (2024). Anesthetic drug discovery with computer-aided drug design and machine learning. SHILAP Revista de lepidopterología. 2(1). 11 indexed citations
7.
Li, Qing, et al.. (2024). A dynamic balanced physics-informed neural network for solving partial differential equations. Scientia Sinica Informationis. 54(8). 1843–1843.
8.
Xu, Liming, et al.. (2024). Deep Lifelong Cross-Modal Hashing. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13478–13493. 2 indexed citations
9.
Tian, Yuxin, Yijie Lin, Qing Ye, et al.. (2024). UNITE: Multitask Learning With Sufficient Feature for Dense Prediction. IEEE Transactions on Systems Man and Cybernetics Systems. 54(8). 5012–5024. 1 indexed citations
10.
Xu, Liming, et al.. (2024). CGFTrans: Cross-Modal Global Feature Fusion Transformer for Medical Report Generation. IEEE Journal of Biomedical and Health Informatics. 28(9). 5600–5612. 6 indexed citations
11.
Liu, Yixi, Hongjie Wu, Shudong Huang, et al.. (2024). Euclidean Distance is Not Your Swiss Army Knife. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8179–8191. 2 indexed citations
13.
Xu, Liming, et al.. (2023). Deep image captioning: A review of methods, trends and future challenges. Neurocomputing. 546. 126287–126287. 36 indexed citations
14.
Huang, Shudong, et al.. (2023). Smooth representation learning from multi-view data. Information Fusion. 100. 101916–101916. 9 indexed citations
15.
Luo, Chuan, et al.. (2022). Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach. IEEE Transactions on Neural Networks and Learning Systems. 34(12). 10889–10903. 39 indexed citations
16.
Wang, Guangjin, et al.. (2022). Open-Set Classification for Signal Diagnosis of Machinery Sensor in Industrial Environment. IEEE Transactions on Industrial Informatics. 19(3). 2574–2584. 20 indexed citations
17.
Liu, Quan-Hui, Peng Cheng, Maria Litvinova, et al.. (2022). Model-based evaluation of alternative reactive class closure strategies against COVID-19. Nature Communications. 13(1). 322–322. 29 indexed citations
18.
Zhu, Fengbin, Wenqiang Lei, Chao Wang, et al.. (2021). TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. 3277–3287. 72 indexed citations
19.
Tang, Chenwei, Zhenan He, Yunxia Li, & Jiancheng Lv. (2021). Zero-Shot Learning via Structure-Aligned Generative Adversarial Network. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6749–6762. 26 indexed citations
20.
Liu, Dayiheng, Jie Fu, Yidan Zhang, Chris Pal, & Jiancheng Lv. (2019). Revision in Continuous Space: Fine-Grained Control of Text Style Transfer.. arXiv (Cornell University). 4 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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