Zhiqian Chen

1.4k total citations
67 papers, 976 citations indexed

About

Zhiqian Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Zhiqian Chen has authored 67 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Zhiqian Chen's work include Neural Networks and Applications (5 papers), Complex Network Analysis Techniques (5 papers) and Machine Learning in Materials Science (4 papers). Zhiqian Chen is often cited by papers focused on Neural Networks and Applications (5 papers), Complex Network Analysis Techniques (5 papers) and Machine Learning in Materials Science (4 papers). Zhiqian Chen collaborates with scholars based in United States, China and Australia. Zhiqian Chen's co-authors include Chang‐Tien Lu, Yang Zhao, Guoming Li, Debasish Banerjee, Chen Ling, Yifei Mo, Xingfeng He, Charles A. Roberts, Tomoya Matsunaga and Ying Zhang and has published in prestigious journals such as Nature Communications, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Zhiqian Chen

58 papers receiving 949 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhiqian Chen United States	15	344	242	139	122	113	67	976
He Liu United States	19	192 0.6×	890 3.7×	133 1.0×	58 0.5×	133 1.2×	63	1.6k
G. K. D. Prasanna Venkatesan India	17	160 0.5×	297 1.2×	58 0.4×	115 0.9×	40 0.4×	99	816
Qian Sun China	13	46 0.1×	121 0.5×	36 0.3×	61 0.5×	82 0.7×	58	491
Qing Zhang China	19	254 0.7×	200 0.8×	111 0.8×	514 4.2×	58 0.5×	118	1.4k
Mohammad Amin Sadeghi Canada	17	104 0.3×	525 2.2×	30 0.2×	63 0.5×	58 0.5×	44	1.0k
Lina Yu China	22	142 0.4×	294 1.2×	208 1.5×	117 1.0×	272 2.4×	102	1.4k
Yunhong Li China	26	546 1.6×	1.0k 4.2×	29 0.2×	42 0.3×	122 1.1×	97	2.2k
Yufei Zhang China	17	310 0.9×	1.3k 5.3×	164 1.2×	91 0.7×	138 1.2×	66	2.1k
Turki Alsuwian Saudi Arabia	18	78 0.2×	338 1.4×	64 0.5×	44 0.4×	60 0.5×	49	773
Xiaochuan Zhang China	20	218 0.6×	333 1.4×	55 0.4×	300 2.5×	177 1.6×	118	1.2k

Countries citing papers authored by Zhiqian Chen

Since Specialization

Citations

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

Fields of papers citing papers by Zhiqian Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiqian Chen

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

Jin, Shaofei, et al.. (2024). Zero-shot visual grounding via coarse-to-fine representation learning. Neurocomputing. 610. 128621–128621. 4 indexed citations

Rothrock, Michael J., et al.. (2024). Towards Interpreting Multi-Objective Feature Associations. 18. 1–8.

Bhowmik, Tanmay, et al.. (2024). Explaining poor performance of text-based machine learning models for vulnerability detection. Empirical Software Engineering. 29(5).

Chen, Zhiqian, et al.. (2024). Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22538–22546.

Wu, Tingting, et al.. (2024). In situ volume measurement of dairy cattle via neural radiance fields-based 3D reconstruction. Biosystems Engineering. 250. 105–116. 1 indexed citations

Li, Wenjing, Yonglei Liu, & Zhiqian Chen. (2024). Design of a bi-level PSO based modular neural network for multi-step time series prediction. Applied Intelligence. 54(17-18). 8612–8633.

Chen, Zhiqian, et al.. (2024). Neural Tangent Bayesian Optimization for Accurate and Efficient Influence Maximization. 806–813.

Chen, Zhiqian, et al.. (2024). Demand analysis of general practice patients for teaching clinic based on Kano model. Frontiers in Public Health. 12. 1336683–1336683. 1 indexed citations

Chen, Zhiqian, et al.. (2024). Leveraging Graph Neural Networks for MIC Prediction in Antimicrobial Resistance Studies. PubMed. 2024. 1–4.

10.

Rothrock, Michael J., et al.. (2023). Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization. 18. 519–525.

11.

Yang, Jie, Yan Ou, Zhiqian Chen, et al.. (2022). A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy. IEEE Journal of Biomedical and Health Informatics. 27(1). 7–16. 16 indexed citations

12.

Chen, Zhiqian, Lei Zhang, Hadi Mardani Kamali, et al.. (2021). Deep Graph Learning for Circuit Deobfuscation. Frontiers in Big Data. 4. 608286–608286. 2 indexed citations

13.

Biswas, Subhodip, et al.. (2020). Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. 25–35. 9 indexed citations

14.

Ding, Zhao, Zhiqian Chen, Tianyi Ma, et al.. (2019). Predicting the hydrogen release ability of LiBH 4 -based mixtures by ensemble machine learning. Energy storage materials. 27. 466–477. 87 indexed citations

15.

Zhang, Ying, Xingfeng He, Zhiqian Chen, et al.. (2019). Unsupervised discovery of solid-state lithium ion conductors. Nature Communications. 10(1). 5260–5260. 253 indexed citations

16.

Chen, Zhiqian, Feng Chen, Rongjie Lai, Xuchao Zhang, & Chang‐Tien Lu. (2018). Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. 59–68. 12 indexed citations

17.

Li, Chunmei, Nanpu Cheng, Zhiqian Chen, Ning Guo, & Zeng Su-min. (2015). Deep-cryogenic-treatment-induced phase transformation in the Al-Zn-Mg-Cu alloy. International Journal of Minerals Metallurgy and Materials. 22(1). 68–77. 40 indexed citations

18.

Chen, Zhiqian. (2014). Effects of Household Processing on Residues of Four Common Pesticides in Cowpea. Food Science. 3 indexed citations

19.

Chen, Zhiqian, et al.. (2013). Detecting Impolite Crawler by Using Time Series Analysis. 1 2. 123–126. 2 indexed citations

20.

Chen, Zhiqian. (2010). Effects of influential parameters on fatigue life of metal matrix composites under thermo-mechanical loading. Chuanbo lixue. 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.

Explore authors with similar magnitude of impact