Xiaohan Nie

984 citations
17 papers · 593 · 1 hit paper · h-index 9

Impact in

Papers in

Xiaohan Nie

15 papers receiving 583 citations

Xiaohan Nie's Hit Papers

Cross-View Action Modeling, Learning, and Recognition 2014 · 423 citations
4230+4+8Years since publication100200300400

Peers

Xiaohan Nie
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 498
  • Human-Computer Interaction 122
  • Artificial Intelligence 256
  • Biomedical Engineering 254
  • Biophysics 14
Replace Maxime Devanne with:
Maxime Devanne France
Dimitris Kastaniotis Greece
Haoming Chen China
Yuanrong Xu China
Srijan Das United States
Qiongjie Cui China
Heuna Kim Germany
Arnab Kumar Mishra India
Davide Modolo United States
Xiaohan Nie relative to Maxime Devanne France Maxime Devanne's profile →
Citations per field
00.5×2.8×
Maxime Devanne · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaohan Nie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaohan Nie Line = papers co-authored together Xiaohan Nie links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Cross-View Action Modeling, Learning, and Recognition
Hit paper breakdown →
2014423
2 202137
3 202022
4 202122
5 201919
6 202016
7 202212
8 201111
9 20209
10
Long-chain non-coding RNA DAPK1 targeting miR-182 regulates pancreatic cancer invasion and metastasis through ROCK-1/rhoa signaling pathway.
20177
11 20216
12 20236
13
[The study on the relationship between hippocampus neuronal apoptosis and hippocampus synaptic plasticity in rats exposed to aluminum].
20151
14 20251
15 20141
16 20250
17 20220

About Xiaohan Nie

Xiaohan Nie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Automotive Engineering and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 593 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Advanced Vision and Imaging (3 papers), Video Analysis and Summarization (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Gait Recognition and Analysis (2 papers), Video Surveillance and Tracking Methods (2 papers), Dental Anxiety and Anesthesia Techniques (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (498 citations), Human-Computer Interaction (122 citations), Artificial Intelligence (256 citations), Biomedical Engineering (254 citations) and Biophysics (14 citations). Xiaohan Nie has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Song‐Chun Zhu, Ying Wu, Jiang Wang, Xia Yin, Shixing Chen, David Fan, Dongqing Zhang, Q. L. Niu, Liang Li and Sheng Liu. Their work appears in journals such as Frontiers in Oncology, Annals of Translational Medicine, IEEE Access, Biological Trace Element Research and Optik.

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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