Xinghua Lou

1.2k total citations
26 papers, 669 citations indexed

About

Xinghua Lou is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xinghua Lou has authored 26 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Xinghua Lou's work include Pluripotent Stem Cells Research (5 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (3 papers). Xinghua Lou is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (3 papers). Xinghua Lou collaborates with scholars based in United States, Germany and China. Xinghua Lou's co-authors include Fred A. Hamprecht, Anna‐Katerina Hadjantonakis, Silvia Muñoz‐Descalzo, Min‐Jung Kang, Panagiotis Xenopoulos, Dileep George, Huayan Wang, Yi Liu, Alexander Lavin and Miguel Lázaro-Gredilla and has published in prestigious journals such as Science, Bioinformatics and Development.

In The Last Decade

Xinghua Lou

24 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinghua Lou United States	12	311	137	131	127	81	26	669
Rui Kuang United States	24	987 3.2×	90 0.7×	249 1.9×	38 0.3×	29 0.4×	74	1.6k
Jean‐Marie Burel United Kingdom	7	559 1.8×	50 0.4×	134 1.0×	535 4.2×	14 0.2×	10	1.0k
Paolo Emilio Barbano United States	9	418 1.3×	104 0.8×	74 0.6×	37 0.3×	27 0.3×	16	720
Ruiqing Zheng China	20	870 2.8×	39 0.3×	102 0.8×	73 0.6×	5 0.1×	58	1.2k
Eric Christiansen United States	8	151 0.5×	218 1.6×	276 2.1×	298 2.3×	8 0.1×	11	910
Xinqi Fan China	16	565 1.8×	114 0.8×	27 0.2×	66 0.5×	32 0.4×	41	972
Haoyang Li China	15	323 1.0×	36 0.3×	134 1.0×	31 0.2×	16 0.2×	38	720
William Fedus United States	8	147 0.5×	179 1.3×	353 2.7×	255 2.0×	6 0.1×	10	747
Hui-Ling Huang Taiwan	16	402 1.3×	38 0.3×	45 0.3×	46 0.4×	15 0.2×	26	730

Countries citing papers authored by Xinghua Lou

Since Specialization

Citations

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

Fields of papers citing papers by Xinghua Lou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghua Lou

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

Lou, Xinghua, et al.. (2025). Multi-MoleScale: a multi-scale approach for molecular property prediction with graph contrastive and sequence learning. Journal of Cheminformatics. 18(1). 5–5.

Lou, Xinghua, et al.. (2025). MambaTransDTA: A Hybrid Mamba-Transformer Architecture for Accurate Drug-Target Binding Affinity Prediction. Journal of Chemical Information and Modeling. 66(1). 259–270.

Lou, Xinghua, et al.. (2025). A Comparative Evaluation of Machine Learning and Deep Graph Learning for Chemical Ecotoxicological Prediction. ACS Omega. 10(33). 37549–37560. 1 indexed citations

Silver, Tom, et al.. (2017). Schema networks: zero-shot transfer with a generative causal model of intuitive physics. International Conference on Machine Learning. 1809–1818. 8 indexed citations

George, Dileep, Miguel Lázaro-Gredilla, Bhaskara Marthi, et al.. (2017). A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs. Science. 358(6368). 151 indexed citations

Saiz, Néstor, Min‐Jung Kang, Nadine Schrode, Xinghua Lou, & Anna‐Katerina Hadjantonakis. (2016). Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos. Journal of Visualized Experiments. 25 indexed citations

Lou, Xinghua, et al.. (2016). Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data. arXiv (Cornell University). 29. 2793–2801. 3 indexed citations

Saiz, Néstor, Min‐Jung Kang, Alberto Puliafito, et al.. (2015). Quantitative analyses for elucidating mechanisms of cell fate commitment in the mouse blastocyst. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9334. 93340D–93340D. 1 indexed citations

Lou, Xinghua, Min‐Jung Kang, Panagiotis Xenopoulos, Silvia Muñoz‐Descalzo, & Anna‐Katerina Hadjantonakis. (2014). A Rapid and Efficient 2D/3D Nuclear Segmentation Method for Analysis of Early Mouse Embryo and Stem Cell Image Data. Stem Cell Reports. 2(3). 382–397. 86 indexed citations

10.

Widmer, Christian, Marius Kloft, Xinghua Lou, & Gunnar Rätsch. (2014). Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging. KI - Künstliche Intelligenz. 28(1). 29–33. 5 indexed citations

11.

Widmer, Christian, et al.. (2014). Graph-regularized 3D shape reconstruction from highly anisotropic and noisy images. Signal Image and Video Processing. 8(S1). 41–48. 1 indexed citations

12.

Lindner, Robert, Xinghua Lou, Jochen Reinstein, et al.. (2014). Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation. Journal of the American Society for Mass Spectrometry. 25(6). 1018–1028. 45 indexed citations

13.

Kang, Min‐Jung, Panagiotis Xenopoulos, Silvia Muñoz‐Descalzo, Xinghua Lou, & Anna‐Katerina Hadjantonakis. (2013). Live Imaging, Identifying, and Tracking Single Cells in Complex Populations In Vivo and Ex Vivo. Methods in molecular biology. 1052. 109–123. 9 indexed citations

14.

Lou, Xinghua, Ullrich Koethe, Joachim Wittbrodt, & Fred A. Hamprecht. (2012). Learning to segment dense cell nuclei with shape prior. 1012–1018. 34 indexed citations

15.

Leitte, Heike, Xinghua Lou, Burkhard Höckendorf, et al.. (2012). Visualization Software for 3D Video Microscopy: A Design Study. Eurographics. 1 indexed citations

16.

Lou, Xinghua & Fred A. Hamprecht. (2012). Structured Learning from Partial Annotations. arXiv (Cornell University). 371–378. 11 indexed citations

17.

Lou, Xinghua & Fred A. Hamprecht. (2011). Structured Learning for Cell Tracking. Neural Information Processing Systems. 24. 1296–1304. 24 indexed citations

18.

Lou, Xinghua, Martin Lindner, Bernhard X. Kausler, et al.. (2011). Deltr: Digital embryo lineage tree reconstructor. 1557–1560. 11 indexed citations

19.

Kreshuk, Anna, Marta Stankiewicz-Kosyl, Xinghua Lou, et al.. (2010). Automated detection and analysis of bimodal isotope peak distributions in H/D exchange mass spectrometry using HeXicon. International Journal of Mass Spectrometry. 302(1-3). 125–131. 20 indexed citations

20.

Kang, Kejun, et al.. (2006). Low count bias in gamma ray thickness detection and its correction. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 568(2). 912–914. 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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