Tiantian Wang

2.1k citations
46 papers · 1.5k · 2 hit papers · h-index 14

Impact in

Papers in

Tiantian Wang

41 papers receiving 1.5k citations

Tiantian Wang's Hit Papers

Progressive Attention Guided Recurrent Network for Salient Object Detection 2018 · 524 citations
5240+2+5Years since publication100200300400500

Peers

Tiantian Wang
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 1.1k
  • Sensory Systems 165
  • Human-Computer Interaction 108
  • Cognitive Neuroscience 327
  • Media Technology 125
Replace Congyan Lang with:
Congyan Lang China
Ni Zhang China
Chenlei Guo United States
Jianwen Xie China
Naila Murray France
Laiyun Qing China
Long Mai United States
Bärbel Mertsching Germany
Tiantian Wang relative to Congyan Lang China Congyan Lang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tiantian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tiantian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Progressive Attention Guided Recurrent Network for Salient Object Detection
Hit paper breakdown →
2018524
2
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
Hit paper breakdown →
2018383
3 201995
4 201676
5 202374
6 202053
7 202447
8 202333
9 202125
10 202222
11 202019
12 202116
13 201916
14 201814
15 201313
16 202213
17 201810
18 202310
19 20248
20 20176

About Tiantian Wang

Tiantian Wang is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Software and Artificial Intelligence, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Software Testing and Debugging Techniques (3 papers), Advanced Neural Network Applications (3 papers), IoT and Edge/Fog Computing (3 papers), Caching and Content Delivery (3 papers), Software Engineering Research (3 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Sensory Systems (165 citations), Human-Computer Interaction (108 citations), Cognitive Neuroscience (327 citations) and Media Technology (125 citations). Tiantian Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huchuan Lu, Jinqing Qi, Xiaoning ZHANG, Gang Wang, Lihe Zhang, Shuo Wang, Ali Borji, Gang Yang, Xiang Ruan and Shuyuan Yang. Their work appears in journals such as Multimedia Tools and Applications, IEEE Transactions on Aerospace and Electronic Systems, Frontiers in Psychology, Science China Information Sciences and IEEE Access.

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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