Ming Zhong

3.4k citations
45 papers · 1.8k · 1 hit paper · h-index 18

Impact in

Papers in

Ming Zhong

44 papers receiving 1.7k citations

Ming Zhong's Hit Papers

CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning 2022 · 442 citations
4420+1+2Years since publication100200300400

Peers

Ming Zhong
Comparison fields: 5 of 133
  • Developmental Biology 290
  • Computer Vision and Pattern Recognition 433
  • Signal Processing 214
  • Hematology 152
  • Artificial Intelligence 436
Replace Rosalia Maglietta with:
Rosalia Maglietta Italy
Wei‐Lun Chang Taiwan
Ying Jiang China
Yan Song China
Kevin R. Moon United States
Xiaoling Xia China
Yuheng Lu China
Shibao Li China
Trung Pham Australia
Thomas Höllt Netherlands
Ming Zhong relative to Rosalia Maglietta Italy Rosalia Maglietta's profile →
Citations per field
00.5×10×15×19.5×
Rosalia Maglietta · 1×
Citations per year

Countries citing papers authored by Ming Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning
Hit paper breakdown →
2022442
2 2019223
3 2015217
4 2020126
5 2021116
6 202187
7 202077
8 202070
9 201256
10 202142
11 202237
12 202128
13 201926
14 201623
15 202122
16 201922
17 202120
18 202017
19
Dexmedetomidine for antiemesis in gynecologic surgery: a meta-analysis of randomized controlled trials.
201513
20 201711

About Ming Zhong

Ming Zhong is a scholar working on Developmental Biology, Ecology, Artificial Intelligence, Pulmonary and Respiratory Medicine and Surgery, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Marine animal studies overview (8 papers), Topic Modeling (8 papers), Animal Vocal Communication and Behavior (8 papers), Natural Language Processing Techniques (7 papers), Erythropoietin and Anemia Treatment (5 papers), Connective Tissue Growth Factor Research (5 papers), Advanced Text Analysis Techniques (4 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Developmental Biology (290 citations), Computer Vision and Pattern Recognition (433 citations), Signal Processing (214 citations), Hematology (152 citations) and Artificial Intelligence (436 citations). Ming Zhong has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Juan Lavista Ferres, Nan Duan, Huaishao Luo, Lei Ji, Tianrui Li, Yang Chen, Rahul Dodhia, Thomas B. Neff, Julian Velev and Marconi Campos‐Cerqueira. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the American Society of Nephrology, Journal of Clinical Oncology, Ecological Informatics and Applied Acoustics.

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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