---
title: "Jingqing Zhang — author profile and papers — Elamur Research"
description: "Jingqing Zhang, Florida State University: 2 papers on Elamur Research (2019–2026), h-index 17 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/jingqing-zhang/"
---
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# Jingqing Zhang

Jingqing Zhang has 2 papers in our library, in 2019–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Deepa Gupta](https://md.research.elamur.ai/free/en/authors/deepa-gupta/), [Kai Sun](https://md.research.elamur.ai/free/en/authors/kai-sun/), [Mohammad Saleh](https://md.research.elamur.ai/free/en/authors/mohammad-saleh/).

2 papers in our library · 2019–2026

[OpenAlex](https://openalex.org/A5120392370) · [ORCID](https://orcid.org/0000-0003-3314-2534) · [Wikidata](https://www.wikidata.org/wiki/Q100969211) · [**h-index 17**](https://openalex.org/authors/A5120392370) · [289 works](https://openalex.org/works?filter=author.id:A5120392370) · [2,277 citations](https://openalex.org/works?filter=author.id:A5120392370&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jingqing-zhang/#papers) · [🔗 Cited 868 times in our library](https://md.research.elamur.ai/free/en/authors/jingqing-zhang/cited-by/) · [⭐ Paper Stars ranking: #1584](https://md.research.elamur.ai/free/en/paper-stars/page/16/#star-1584)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jingqing+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jingqing+Zhang) · [dblp](https://dblp.org/search?q=Jingqing+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Jingqing+Zhang)

## Affiliations

[🎓**Nanjing Normal University** Nanjing · China 2022–2026 · 177 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/nanjing-normal-university/) · [🎓**Florida State University** Tallahassee · United States 2021–2026 · 85 papers*current*](https://md.research.elamur.ai/free/en/universities/florida-state-university/) · [🎓**Fudan University** Shanghai · China 2024–2026 · 57 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🔬**Institute of High Energy Physics** Beijing · China 2014–2026 · 40 papersEmployment*current*](https://ror.org/03v8tnc06) · [🎓**Henan University** Kaifeng · China 2025–2026 · 37 papers*current*](https://ror.org/003xyzq10) · [🎓**Shanxi Normal University** Taiyuan · China 2025–2026 · 37 papers*current*](https://ror.org/03zd3ta61) · [🎓**Sun Yat-sen University** Guangzhou · China 2025–2026 · 37 papers*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**Lanzhou University** Lanzhou · China 2025–2026 · 36 papers*current*](https://md.research.elamur.ai/free/en/universities/lanzhou-university/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2020–2026 · 36 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Vanderbilt University** Nashville · United States 2025–2026 · 35 papers*current*](https://md.research.elamur.ai/free/en/universities/vanderbilt-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 20 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Health Information Management · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/health-information-management/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Text summarization · 1 work](https://md.research.elamur.ai/free/en/concepts/text-summarization/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jingqing-zhang/year/2026/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/jingqing-zhang/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2019-pegasus-pre-training-extracted-gap/)** *(2019 · 1,828 citations)* PEGASUS addresses two gaps: no pre-training task had been designed specifically for abstractive summarization, and summarizers were rarely evaluated across many domains.
2. **[Operation-Mechanism Alignment for Reliable Clinical Reasoning over Electronic Health Records](https://md.research.elamur.ai/free/en/papers/tao-2026-operation-mechanism-alignment-reliable-clinical/)** *(2026 · 1 citation)* LLM pipelines for clinical decisions over electronic health records usually fold very different steps into one generation call: reading free-text notes, calculating lab-derived values, restricting data to time windows, and applying guideline rules.

## Co-authors here

5 co-authors with a page, the most papers together first.

- [Deepa Gupta](https://md.research.elamur.ai/free/en/authors/deepa-gupta/)
- [Kai Sun](https://md.research.elamur.ai/free/en/authors/kai-sun/)
- [Mohammad Saleh](https://md.research.elamur.ai/free/en/authors/mohammad-saleh/)
- [Peter J. Liu](https://md.research.elamur.ai/free/en/authors/peter-j-liu/)
- [Yao Zhao](https://md.research.elamur.ai/free/en/authors/yao-zhao/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/): [BioNLP 2026](https://md.research.elamur.ai/free/en/venues/bionlp/2026/)

## Cited by

Papers of our library cite their works 868 times (of the 149,439 papers whose bibliographies we read); [74 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingqing-zhang/cited-by/).

Updated 1 November 2026
