Huan Ling

2.5k citations
33 papers · 1.1k indexed · 1 hit paper · h-index 12

Huan Ling

29 papers receiving 1.0k citations

Hit Papers

Align Your Latents: High-Resolution Video Synthesis with ...249202320262024202550100150200

Peers

Huan Ling
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 740
  • Computer Graphics and Computer-Aided Design 90
  • Media Technology 89
  • Artificial Intelligence 209
  • Ocean Engineering 94
Replace Zunlei Feng with:
Zunlei Feng China
Yuji Iwahori Japan
Fengxiang He China
Mohammed El Hassouni Morocco
Gedas Bertasius United States
Faisal Z. Qureshi Canada
Holger Caesar Netherlands
Aladine Chetouani France
Fangneng Zhan Singapore
Huan Ling relative to Zunlei Feng China Zunlei Feng's profile →
Citations per field
00.5×3.1×
Zunlei Feng · 1×
Citations per year

Countries citing papers authored by Huan Ling

Since Specialization
Citations

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

Fields of papers citing papers by Huan Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Huan Ling, 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 Huan Ling Line = papers co-authored together Huan Ling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20250
5 20251
6 20251
7 20252
8 20250
9 202429
10 20242
11 202325
12 20211
13 20211
14
Variational Amodal Object Completion
202014
15 20197
16
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
201933
17 2018252
18
Teaching Machines to Describe Images with Natural Language Feedback
201717
19
The Survey and Analysis of Disabled Sports' Development in Zhejiang Province
20121
20 20067

About Huan Ling

Huan Ling is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Radiation, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Advanced Neural Network Applications (6 papers), Luminescence Properties of Advanced Materials (6 papers), Radiation Detection and Scintillator Technologies (5 papers), Luminescence and Fluorescent Materials (5 papers), 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (740 citations), Computer Graphics and Computer-Aided Design (90 citations) and Media Technology (89 citations). Huan Ling has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Sanja Fidler, Amlan Kar, David Acuna, Jun Gao, Seung Wook Kim, Karsten Kreis, Andreas Blattmann, Robin Rombach, Tim Dockhorn and Wenzheng Chen. Their work appears in journals such as Nano Letters, Nanoscale Advances, Nature Communications, Chinese Chemical Letters and ChemBioChem.

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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