Ling Hu

1.3k total citations
57 papers, 984 citations indexed

About

Ling Hu is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Ling Hu has authored 57 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Materials Chemistry. Recurrent topics in Ling Hu's work include 3D Shape Modeling and Analysis (13 papers), Advanced Numerical Analysis Techniques (8 papers) and Computer Graphics and Visualization Techniques (7 papers). Ling Hu is often cited by papers focused on 3D Shape Modeling and Analysis (13 papers), Advanced Numerical Analysis Techniques (8 papers) and Computer Graphics and Visualization Techniques (7 papers). Ling Hu collaborates with scholars based in China, United States and France. Ling Hu's co-authors include Changyou Gao, Cyrus Shahabi, Zhengwei Mao, Wei‐Shinn Ku, Claire‐Hélène Brachais, Denis Chaumont, Da-Hai Yu, Yuying Zhang, Arnaud Brioude and Yoann Lalatonne and has published in prestigious journals such as Biomaterials, Journal of Materials Chemistry and The Journal of Physical Chemistry C.

In The Last Decade

Ling Hu

52 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Hu China	16	268	258	251	151	118	57	984
Wei Dai China	24	217 0.8×	56 0.2×	993 4.0×	204 1.4×	104 0.9×	65	1.8k
Huan Dai China	17	105 0.4×	57 0.2×	293 1.2×	212 1.4×	96 0.8×	62	1.2k
Jinhua Liu China	22	190 0.7×	97 0.4×	158 0.6×	83 0.5×	65 0.6×	114	1.4k
Meiling Chen China	12	232 0.9×	79 0.3×	247 1.0×	128 0.8×	71 0.6×	44	933
Yuting Lü China	17	203 0.8×	49 0.2×	211 0.8×	98 0.6×	119 1.0×	87	996
Yuan Jiang China	17	237 0.9×	81 0.3×	130 0.5×	39 0.3×	350 3.0×	67	1.1k
Xiaoling Li China	19	289 1.1×	33 0.1×	408 1.6×	83 0.5×	76 0.6×	139	1.6k
Tianrui Liu China	16	276 1.0×	58 0.2×	292 1.2×	64 0.4×	103 0.9×	56	870
Jiandong Wang China	26	196 0.7×	88 0.3×	417 1.7×	200 1.3×	516 4.4×	128	2.0k
Shuaishuai Liu China	23	124 0.5×	369 1.4×	373 1.5×	62 0.4×	30 0.3×	64	1.3k

Countries citing papers authored by Ling Hu

Since Specialization

Citations

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

Fields of papers citing papers by Ling Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Hu

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

Hu, Ling, et al.. (2025). Deep Frequency Awareness Functional Maps for Robust Shape Matching. IEEE Transactions on Visualization and Computer Graphics. 31(10). 7781–7794.

Law, Victor, et al.. (2024). Exploring the relationship between students’ information problem solving patterns and epistemic beliefs: a mixed methods sequential analysis study. Journal of Computing in Higher Education. 37(1). 346–368. 2 indexed citations

Liu, Xinru, et al.. (2024). Deformable shape matching with multiple complex spectral filter operator preservation. The Visual Computer. 40(7). 4885–4898.

Liu, Xinru, et al.. (2023). AWEDD: a descriptor simultaneously encoding multiscale extrinsic and intrinsic shape features. The Visual Computer. 40(4). 2537–2554. 4 indexed citations

Hu, Ling, et al.. (2023). Chinese college students collaborative mobile-assisted language learning experience and flow as a key factor for further adoption. Frontiers in Psychology. 14. 1165332–1165332. 5 indexed citations

Liu, Shengjun, Hongyan Liu, Wang Chen, et al.. (2023). An anisotropic Chebyshev descriptor and its optimization for deformable shape correspondence. Computational Visual Media. 9(3). 461–477. 1 indexed citations

Hu, Ling, et al.. (2023). Novel Contrastive Regularized Bipartite Network for Unsupervised Change Detection. 1–5. 1 indexed citations

Hu, Ling, et al.. (2022). A Moderated Mediation Model of Emotional Engagement in the Development of Emotional Exhaustion: The Moderating Role of Emotional Resources. Frontiers in Psychology. 13. 878415–878415. 3 indexed citations

Hu, Ling, et al.. (2022). To help others or not: A moderated mediation model of emotional dissonance. Frontiers in Human Neuroscience. 16. 893623–893623. 1 indexed citations

10.

Wu, Limei, Jingwen Liu, Yan Liu, et al.. (2021). In situ growth of Fe₃O₄ on montmorillonite surface and its removal of anionic pollutants. RSC Advances. 11(53). 33399–33407. 4 indexed citations

11.

Hu, Ling, Yoann Lalatonne, N. Lièvre, et al.. (2014). SiO2 versus chelating agent@ iron oxide nanoparticles: interactions effect in nanoparticles assemblies at low magnetic field. Journal of Sol-Gel Science and Technology. 73(3). 572–579. 5 indexed citations

12.

Fiorido, T., Vincent Salles, L. Seveyrat, et al.. (2014). Bifunctional organic/inorganic nanocomposites for energy harvesting, actuation and magnetic sensing applications. Sensors and Actuators A Physical. 211. 105–114. 12 indexed citations

13.

Hu, Ling, Irena Milošević, V. Russier, et al.. (2012). Iron oxide nanoparticles with sizes, shapes and compositions resulting in different magnetization signatures as potential labels for multiparametric detection. Acta Biomaterialia. 9(4). 6150–6157. 98 indexed citations

14.

Hu, Ling, Wei‐Shinn Ku, Spiridon Bakiras, & Cyrus Shahabi. (2011). Spatial Query Integrity with Voronoi Neighbors. IEEE Transactions on Knowledge and Data Engineering. 25(4). 863–876. 59 indexed citations

15.

Hu, Ling. (2010). Improved Approach for Image Registration Based on Wavelet Transform. Jisuanji gongcheng. 2 indexed citations

16.

Zhang, Yuying, Ling Hu, Da-Hai Yu, & Changyou Gao. (2010). Influence of silica particle internalization on adhesion and migration of human dermal fibroblasts. Biomaterials. 31(32). 8465–8474. 100 indexed citations

17.

Hu, Ling, et al.. (2008). Comparison of various methods of grafting of modified-PEG onto maghemite nanoparticles in aqueous medium including synthesis by microwave refluxing. Journal of Sol-Gel Science and Technology. 49(3). 277–284. 3 indexed citations

18.

Jiang, Bingbing, Ling Hu, Changyou Gao, & Jiacong Shen. (2005). Ibuprofen-loaded nanoparticles prepared by a co-precipitation method and their release properties. International Journal of Pharmaceutics. 304(1-2). 220–230. 57 indexed citations

19.

Jiang, Bingbing, Ling Hu, Changyou Gao, & Jiacong Shen. (2005). Crosslinked polysaccharide nanocapsules: Preparation and drug release properties. Acta Biomaterialia. 2(1). 9–18. 18 indexed citations

20.

Jiang, Bingbing, Changyou Gao, Ling Hu, & Jiacong Shen. (2004). Water-dispersed bone morphogenetic protein nanospheres prepared by co-precipitation method. Journal of Zhejiang University SCIENCE A. 5(8). 936–940. 3 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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