Jing Xu

3.5k citations
161 papers · 1.9k indexed · 1 hit paper · h-index 23
Topics
Parasites and Host Interactions (15 papers)Visual Attention and Saliency Detection (14 papers)Software Engineering Research (12 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaApplied Physics Letters

In The Last Decade

Jing Xu

146 papers receiving 1.9k citations

Hit Papers

Chain-of-Verification Reduces Hallucination in Large Lang...2024202620252024204060

Peers

Jing Xu
Comparison fields: 5 of 177
  • Molecular Biology 547
  • Artificial Intelligence 436
  • Computer Vision and Pattern Recognition 422
  • Microbiology 162
  • Signal Processing 126
Replace Satwinder Singh with:
Satwinder Singh India
Shinn‐Ying Ho Taiwan
Slobodan Vučetić United States
Rosane Minghim Brazil
Abdul Sattar Australia
Raghvendra Mall India
Binh P. Nguyen New Zealand
Florentino Fdez‐Riverola Spain
Hendrik Strobelt United States
Jing Lei China
Jing Xu relative to Satwinder Singh India Satwinder Singh's profile →
Citations per field
00.5×11×
Satwinder Singh · 1×
Citations per year

Countries citing papers authored by Jing Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Xu. A scholar is included among the top collaborators of Jing Xu 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 Jing Xu. Jing Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
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Chain-of-Verification Reduces Hallucination in Large Language Modelsbreakdown →
64
5 4
6 0
7 2
8 7
9 6
10 58
11 40
12 2
13 1
14 42
15 9
16 7
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Concept Detection based on Multi-label Classification and Image Captioning Approach - DAMO at ImageCLEF 2019.
4
18
[Assessment on the effect of joint effort for schistosomiasis control in Hubei Province].
1
19 18
20 73

About Jing Xu

Jing Xu is a scholar working on Parasitology, Software and Computer Vision and Pattern Recognition, having authored 161 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parasites and Host Interactions (15 papers), Visual Attention and Saliency Detection (14 papers) and Software Engineering Research (12 papers). The work is most often cited by research in Microbiology (162 citations), Computer Vision and Pattern Recognition (422 citations) and Health Informatics (25 citations). Jing Xu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yu Qiu, Yun Liu, Xiao Jin, Jason Weston, Shijie Li, Jiangning Song, Fuyi Li, Jian Li, Han Zhang and Yanbin Yin. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied Physics Letters.

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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