Xiaohan Nie

958 total citations · 1 hit paper
16 papers, 564 citations indexed

About

Xiaohan Nie is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Xiaohan Nie has authored 16 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Xiaohan Nie's work include Human Pose and Action Recognition (5 papers), Video Analysis and Summarization (3 papers) and Advanced Vision and Imaging (3 papers). Xiaohan Nie is often cited by papers focused on Human Pose and Action Recognition (5 papers), Video Analysis and Summarization (3 papers) and Advanced Vision and Imaging (3 papers). Xiaohan Nie collaborates with scholars based in China, United States and Malaysia. Xiaohan Nie's co-authors include Song‐Chun Zhu, Jiang Wang, Xia Yin, Ying Wu, Roszilah Hamid, Shixing Chen, Dongqing Zhang, David Fan, Liang Li and Q. L. Niu and has published in prestigious journals such as IEEE Access, Biological Trace Element Research and Optik.

In The Last Decade

Xiaohan Nie

14 papers receiving 555 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.

Cross-View Action Modeling, Learning, and Recognition

2014 409 citations Jiang Wang, Xiaohan Nie et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaohan Nie China	9	479	249	247	120	17	16	564
Dimitris Kastaniotis Greece	11	258 0.5×	100 0.4×	128 0.5×	56 0.5×	19 1.1×	17	378
Ali Diba Belgium	8	506 1.1×	267 1.1×	70 0.3×	27 0.2×	17 1.0×	17	583
Nikolaos Gkalelis Greece	10	344 0.7×	146 0.6×	78 0.3×	36 0.3×	5 0.3×	29	403
Haoming Chen China	10	240 0.5×	87 0.3×	55 0.2×	38 0.3×	22 1.3×	28	345
Tomoko Tateyama Japan	10	166 0.3×	61 0.2×	47 0.2×	54 0.5×	55 3.2×	65	318
Imran Fareed Nizami Pakistan	11	295 0.6×	41 0.2×	77 0.3×	32 0.3×	52 3.1×	40	400
Rajneesh Rani India	13	368 0.8×	109 0.4×	18 0.1×	38 0.3×	36 2.1×	73	519
Ionuţ Cosmin Duţă Italy	6	230 0.5×	99 0.4×	50 0.2×	23 0.2×	13 0.8×	9	279
Sarifuddin Madenda Indonesia	11	107 0.2×	104 0.4×	39 0.2×	32 0.3×	34 2.0×	81	330

Countries citing papers authored by Xiaohan Nie

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohan Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohan Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohan Nie. A scholar is included among the top collaborators of Xiaohan Nie 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 Xiaohan Nie. Xiaohan Nie 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:

16 of 16 papers shown

1.

Hu, Kai, F. Gao, Xiaohan Nie, et al.. (2025). M-LLM Based Video Frame Selection for Efficient Video Understanding. 13702–13712.

2.

Liu, Chun-Hao, et al.. (2023). Movies2Scenes: Using Movie Metadata to Learn Scene Representation. 6535–6544. 5 indexed citations

3.

Nie, Xiaohan, et al.. (2022). Anatomic feasibility of a modified 3-distal site anesthesia injection method for impacted mandibular third molar extraction using cone-beam computed tomography. Annals of Translational Medicine. 10(16). 859–859.

4.

Liu, Sheng, Xiaohan Nie, & Roszilah Hamid. (2022). Depth-Guided Sparse Structure-from-Motion for Movies and TV Shows. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10 indexed citations

5.

Xu, Jiaqi, et al.. (2021). Characterization of the GATA Transcription Factor Family and Exploration of Their Relevance to Immune Infiltration and Tumor Microenvironment in Pancreatic Cancer. International Journal of General Medicine. Volume 14. 9083–9101. 6 indexed citations

6.

Nie, Xiaohan, Shixing Chen, & Roszilah Hamid. (2021). A Robust and Efficient Framework for Sports-Field Registration. 1935–1943. 19 indexed citations

7.

Chen, Shixing, et al.. (2021). Shot Contrastive Self-Supervised Learning for Scene Boundary Detection. 9791–9800. 33 indexed citations

8.

Li, Min, Xiaohan Nie, Pan Huang, et al.. (2020). Computer-Aided Diagnosis and Staging of Pancreatic Cancer Based on CT Images. IEEE Access. 8. 141705–141718. 19 indexed citations

9.

Yan, Ziwei, Chunlong Ma, Jiaqing Mo, et al.. (2020). Rapid identification of benign and malignant pancreatic tumors using serum Raman spectroscopy combined with classification algorithms. Optik. 208. 164473–164473. 16 indexed citations

10.

Ma, Quanjin, Jia Ge, M. R. M. Rejab, et al.. (2020). Fabrication of the carbon fiber reinforced plastic (CFRP) cone tube through the laboratory-scale 3-axis winding machine. Materials Today Proceedings. 46. 1645–1651. 9 indexed citations

11.

Li, Liang, et al.. (2019). Effects of Chronic Aluminum Lactate Exposure on Neuronal Apoptosis and Hippocampal Synaptic Plasticity in Rats. Biological Trace Element Research. 197(2). 571–579. 18 indexed citations

12.

Xu, Xin‐Jian, et al.. (2017). Long-chain non-coding RNA DAPK1 targeting miR-182 regulates pancreatic cancer invasion and metastasis through ROCK-1/rhoa signaling pathway.. PubMed. 10(9). 9273–9283. 7 indexed citations

13.

Nie, Xiaohan, et al.. (2015). [The study on the relationship between hippocampus neuronal apoptosis and hippocampus synaptic plasticity in rats exposed to aluminum].. PubMed. 33(7). 535–8. 1 indexed citations

14.

Wang, Jiang, Xiaohan Nie, Xia Yin, Ying Wu, & Song‐Chun Zhu. (2014). Cross-View Action Modeling, Learning, and Recognition. 2649–2656. 409 indexed citations breakdown →

15.

Wang, Jiang, Xiaohan Nie, Xia Yin, & Ying Wu. (2014). Mining discriminative 3D Poselet for cross-view action recognition. 634–639. 1 indexed citations

16.

Zhao, Yibiao, et al.. (2011). A benchmark for interactive image segmentation algorithms. 23. 33–38. 11 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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