Lang Nie

698 total citations
29 papers, 285 citations indexed

About

Lang Nie is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Lang Nie has authored 29 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 6 papers in Media Technology. Recurrent topics in Lang Nie's work include Advanced Vision and Imaging (21 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Robotics and Sensor-Based Localization (7 papers). Lang Nie is often cited by papers focused on Advanced Vision and Imaging (21 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Robotics and Sensor-Based Localization (7 papers). Lang Nie collaborates with scholars based in China, Singapore and Australia. Lang Nie's co-authors include Chunyu Lin, Yao Zhao, Kang Liao, Shuaicheng Liu, Meiqin Liu, Kang Liao, Chun-Yu Lin, Yao Zhao, Xin Li and Fan Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Neurocomputing.

In The Last Decade

Lang Nie

23 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lang Nie China	9	251	74	30	20	12	29	285
Yu-Chuan Su United States	9	282 1.1×	68 0.9×	46 1.5×	5 0.3×	10 0.8×	22	311
Valeria Garro Italy	8	156 0.6×	72 1.0×	13 0.4×	48 2.4×	18 1.5×	26	223
Chengzhou Tang Canada	8	234 0.9×	157 2.1×	31 1.0×	46 2.3×	11 0.9×	14	260
Stephan Meister Germany	6	340 1.4×	50 0.7×	86 2.9×	17 0.8×	20 1.7×	6	367
Khoi Nguyen United States	6	132 0.5×	59 0.8×	7 0.2×	30 1.5×	13 1.1×	14	180
Yueh-Cheng Liu Taiwan	6	151 0.6×	52 0.7×	23 0.8×	42 2.1×	14 1.2×	7	223
Menghua Zhai United States	4	245 1.0×	125 1.7×	40 1.3×	17 0.8×	10 0.8×	10	279
Andréas Meuleman South Korea	7	178 0.7×	60 0.8×	12 0.4×	25 1.3×	82 6.8×	13	228
Filip Radenović Czechia	7	354 1.4×	218 2.9×	24 0.8×	41 2.0×	3 0.3×	9	389

Countries citing papers authored by Lang Nie

Since Specialization

Citations

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

Fields of papers citing papers by Lang Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang Nie

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

20 of 20 papers shown

Zhang, Lianzhen, et al.. (2025). A Switchable-core Wideband Class-F23 VCO with 200.8 dBc/Hz Peak FoMT in 130-nm SiGe. Microelectronics Journal. 159. 106613–106613.

Nie, Lang, Chunyu Lin, Kang Liao, et al.. (2025). StabStitch++: Unsupervised Online Video Stitching With Spatiotemporal Bidirectional Warps. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 7443–7456. 2 indexed citations

Zhang, Yun, Yu‐Kun Lai, Lang Nie, Fang‐Lue Zhang, & Lin Xu. (2024). RecStitchNet: Learning to stitch images with rectangular boundaries. Computational Visual Media. 10(4). 687–703. 3 indexed citations

Lin, Chunyu, et al.. (2024). Toward Oriented Fisheye Object Detection: Dataset and Baseline. ACM Transactions on Multimedia Computing Communications and Applications. 21(1). 1–19.

Nie, Lang, Chunyu Lin, Kang Liao, Shuaicheng Liu, & Yao Zhao. (2024). Semi-Supervised Coupled Thin-Plate Spline Model for Rotation Correction and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9192–9204. 5 indexed citations

Nie, Lang, et al.. (2024). TG-Pose: Delving Into Topology and Geometry for Category-Level Object Pose Estimation. IEEE Transactions on Multimedia. 26. 9749–9762. 2 indexed citations

Pan, Jie, Chunyu Lin, Lang Nie, Meiqin Liu, & Yao Zhao. (2024). Multimodal spatiotemporal aggregation for point cloud accumulation. Journal of Visual Communication and Image Representation. 103. 104243–104243. 1 indexed citations

Lin, Chunyu, et al.. (2024). 360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-View Geometric Consistency Perception. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10486–10498.

Fu, Haipeng, et al.. (2024). Low phase noise and wide tuning range VCO using switchable weakly coupled VCO-cores. IEICE Electronics Express. 21(5). 20230611–20230611.

10.

Lin, Chunyu, Lang Nie, Shujun Huang, et al.. (2024). WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions. 4976–4982. 5 indexed citations

11.

Nie, Lang, et al.. (2024). Digging into depth-adaptive structure for guided depth super-resolution. Displays. 84. 102752–102752.

12.

Zhang, Chunlan, Chunyu Lin, Kang Liao, Lang Nie, & Yao Zhao. (2023). As-Deformable-As-Possible Single-Image-Based View Synthesis Without Depth Prior. IEEE Transactions on Circuits and Systems for Video Technology. 33(8). 3989–4001. 2 indexed citations

13.

Lin, Chunyu, et al.. (2023). S-OmniMVS: Incorporating Sphere Geometry into Omnidirectional Stereo Matching. 1495–1503. 2 indexed citations

14.

Nie, Lang, Chunyu Lin, Kang Liao, Shuaicheng Liu, & Yao Zhao. (2023). Deep Rotation Correction Without Angle Prior. IEEE Transactions on Image Processing. 32. 2879–2888. 7 indexed citations

15.

Pan, Lan, et al.. (2023). Effects of Trace Elements on Traits and Functional Active Compounds of Camellia oleifera in Nutrient-Poor Forests. Forests. 14(4). 830–830. 1 indexed citations

16.

Luo, Ao, Fan Yang, Xin Li, et al.. (2023). GAFlow: Incorporating Gaussian Attention into Optical Flow. 9608–9617. 17 indexed citations

17.

Lin, Chunyu, et al.. (2022). Neural Contourlet Network for Monocular 360° Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology. 32(12). 8574–8585. 8 indexed citations

18.

Huang, Xudong, Chunyu Lin, Haojie Liu, Lang Nie, & Yao Zhao. (2022). Future pseudo-LiDAR frame prediction for autonomous driving. Multimedia Systems. 28(5). 1611–1620. 1 indexed citations

19.

Nie, Lang, Chun-Yu Lin, Kang Liao, Shuaicheng Liu, & Yao Zhao. (2022). Deep Rectangling for Image Stitching: A Learning Baseline. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5730–5738. 36 indexed citations

20.

Nie, Lang, Chunyu Lin, Kang Liao, & Yao Zhao. (2021). Learning edge-preserved image stitching from multi-scale deep homography. Neurocomputing. 491. 533–543. 30 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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