Nam Ling

3.3k total citations
238 papers, 2.4k citations indexed

About

Nam Ling is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Nam Ling has authored 238 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 193 papers in Computer Vision and Pattern Recognition, 128 papers in Signal Processing and 22 papers in Media Technology. Recurrent topics in Nam Ling's work include Video Coding and Compression Technologies (123 papers), Advanced Vision and Imaging (89 papers) and Advanced Data Compression Techniques (69 papers). Nam Ling is often cited by papers focused on Video Coding and Compression Technologies (123 papers), Advanced Vision and Imaging (89 papers) and Advanced Data Compression Techniques (69 papers). Nam Ling collaborates with scholars based in United States, China and Singapore. Nam Ling's co-authors include Jianjun Lei, Minqiang Jiang, Chunping Hou, Zhaoqing Pan, Bo Peng, Qingming Huang, Yuming Fang, Xiaokang Yang, Sam Kwong and Philipp Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Nam Ling

209 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nam Ling United States	30	2.1k	1.1k	348	158	149	238	2.4k
T. Sikora Germany	17	2.1k 1.0×	1000 0.9×	199 0.6×	248 1.6×	116 0.8×	66	2.5k
André Kaup Germany	25	2.7k 1.3×	1.1k 1.0×	435 1.3×	132 0.8×	190 1.3×	363	3.1k
Shanshe Wang China	26	2.3k 1.1×	1.2k 1.0×	172 0.5×	158 1.0×	103 0.7×	166	2.6k
Zhaoqing Pan China	25	1.5k 0.7×	843 0.7×	195 0.6×	310 2.0×	113 0.8×	70	2.1k
C.N. Canagarajah United Kingdom	20	1.1k 0.5×	514 0.5×	451 1.3×	158 1.0×	233 1.6×	120	1.7k
Munchurl Kim South Korea	28	2.1k 1.0×	878 0.8×	497 1.4×	79 0.5×	69 0.5×	133	2.4k
Jiro Katto Japan	18	1.8k 0.9×	781 0.7×	178 0.5×	198 1.3×	306 2.1×	250	2.5k
Jizheng Xu China	29	4.3k 2.1×	1.8k 1.6×	1.1k 3.0×	251 1.6×	168 1.1×	170	4.7k
Huanqiang Zeng China	29	2.2k 1.1×	502 0.4×	545 1.6×	267 1.7×	95 0.6×	157	2.6k
Jar‐Ferr Yang Taiwan	22	1.4k 0.7×	1.5k 1.3×	130 0.4×	205 1.3×	236 1.6×	182	2.3k

Countries citing papers authored by Nam Ling

Since Specialization

Citations

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

Fields of papers citing papers by Nam Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nam Ling

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

Wang, Jin, et al.. (2025). A CNN-transformer hybrid network with selective fusion and dual attention for image super-resolution. Multimedia Systems. 31(2). 2 indexed citations

Ling, Nam, et al.. (2025). HyCoViT: Hybrid Convolution Vision Transformer With Dynamic Dropout for Enhanced Medical Chest X-Ray Classification. IEEE Access. 13. 112623–112641.

Pan, Zhaoqing, Bo Peng, Jianjun Lei, et al.. (2025). Efficient Chroma Intra Prediction via Exemplar Colorization Network for Versatile Video Coding. IEEE Transactions on Multimedia. 27. 4713–4724. 1 indexed citations

Pan, Zhaoqing, Jiaojiao Yi, Bo Peng, et al.. (2025). Evaluating Visual Quality of Autostereoscopic Displays Using an Interactive Perception Network. IEEE Transactions on Instrumentation and Measurement. 74. 1–17.

Lei, Jianjun, Bingzheng Liu, Bo Peng, et al.. (2023). Deep Gradual-Conversion and Cycle Network for Single-View Synthesis. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(6). 1665–1675. 10 indexed citations

Wang, Jin, et al.. (2023). Point Cloud Geometry Compression via Density-Constrained Adaptive Graph Convolution. abs 1905 3691. 368–368. 1 indexed citations

Li, Lixiang, et al.. (2022). Bagged Tree and ResNet-Based Joint End-to-End Fast CTU Partition Decision Algorithm for Video Intra Coding. Electronics. 11(8). 1264–1264. 9 indexed citations

Pan, Zhaoqing, Hao Zhang, Jianjun Lei, et al.. (2022). DACNN: Blind Image Quality Assessment via a Distortion-Aware Convolutional Neural Network. IEEE Transactions on Circuits and Systems for Video Technology. 32(11). 7518–7531. 57 indexed citations

Pan, Zhaoqing, Feng Yuan, Weijie Yu, et al.. (2022). RDEN: Residual Distillation Enhanced Network-Guided Lightweight Synthesized View Quality Enhancement for 3D-HEVC. IEEE Transactions on Circuits and Systems for Video Technology. 32(9). 6347–6359. 26 indexed citations

10.

Peng, Bo, et al.. (2022). Deep In-Loop Filtering via Multi-Domain Correlation Learning and Partition Constraint for Multiview Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 33(4). 1911–1921. 11 indexed citations

11.

Lei, Jianjun, et al.. (2022). Disparity-Aware Reference Frame Generation Network for Multiview Video Coding. IEEE Transactions on Image Processing. 31. 4515–4526. 3 indexed citations

12.

Li, Lixiang, et al.. (2022). Transformer-Based Data-Driven Video Coding Acceleration for Industrial Applications. Mathematical Problems in Engineering. 2022. 1–11.

13.

Peng, Bo, et al.. (2022). LVE-S2D: Low-Light Video Enhancement From Static to Dynamic. IEEE Transactions on Circuits and Systems for Video Technology. 32(12). 8342–8352. 41 indexed citations

14.

Lei, Jianjun, Yanan Shi, Zhaoqing Pan, et al.. (2021). Deep Multi-Domain Prediction for 3D Video Coding. IEEE Transactions on Broadcasting. 67(4). 813–823. 13 indexed citations

15.

Lei, Jianjun, et al.. (2021). Stereoscopic Image Retargeting Based on Deep Convolutional Neural Network. IEEE Transactions on Circuits and Systems for Video Technology. 31(12). 4759–4770. 9 indexed citations

16.

Lei, Jianjun, et al.. (2021). Deep Affine Motion Compensation Network for Inter Prediction in VVC. IEEE Transactions on Circuits and Systems for Video Technology. 32(6). 3923–3933. 21 indexed citations

17.

Pan, Zhaoqing, Feng Yuan, Jianjun Lei, et al.. (2021). MIEGAN: Mobile Image Enhancement via a Multi-Module Cascade Neural Network. IEEE Transactions on Multimedia. 24. 519–533. 35 indexed citations

18.

Zhou, Yuan, et al.. (2017). Iterative Feedback Control-Based Salient Object Segmentation. IEEE Transactions on Multimedia. 20(6). 1350–1364. 21 indexed citations

19.

Lei, Jianjun, et al.. (2017). Sketch based image retrieval via image-aided cross domain learning. 3685–3689. 11 indexed citations

20.

Ling, Nam, et al.. (1999). Architecture for Real-time HDTV Video Decoding. Journal of Applied Science and Engineering. 2(2). 53–60. 2 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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